Explore internships, research positions, jobs, scholarships and fellowships from top organizations across India and worldwide.
Tenstorrent
VerifiedBack to jobsNewField Application Engineer - AI Software & Hardware Gdańsk, Pomeranian Voivodeship, PolandApplyTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of Gdansk, Poland. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions. Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements. What We Need Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager). Your field insight will help shape our roadmap, our features, and the way we show up for developers. Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow. Experience with embedded systems, FPGA Architecture or AI accelerators. Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management. What You Will Learn How to explore and push the boundaries of AI performance on custom silicon and help develope
Analog Devices
VerifiedPosition available at official Analog Devices careers portal. Requisition: N/A
Micron Technology
VerifiedPosition available at official Micron Technology careers portal. Requisition: N/A
NVIDIA
VerifiedPosition available at official NVIDIA careers portal. Requisition: N/A
Graphcore
VerifiedBack to jobsNewStaff Engineering Operations Technical Program ManagerAustin, Texas, United StatesStart your applicationAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment. Responsibilities and Duties Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. Support engineering bring-up activities, including component validation and firmware interaction testing. Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues. Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements. Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles. Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability. Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation. Provide guidance and mentorship to juni
Graphcore
VerifiedBack to jobsNewSenior Systems EngineerAustin, Texas, United StatesStart your applicationAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment. Responsibilities and Duties Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. Support engineering bring-up activities, including component validation and firmware interaction testing. Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues. Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements. Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles. Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability. Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation. Provide guidance and mentorship to junior technicians and engineers on
Analog Devices
VerifiedOfficial opening at Analog Devices. Role involves advanced engineering across design, testing, verification, and silicon delivery pipelines. Candidate will collaborate with multi-site engineering teams on high-performance compute and semiconductor architectures. Apply directly via official career portal.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of Munich, Germany. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions. Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements. What We Need Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager). Your field insight will help shape our roadmap, our features, and the way we show up for developers. Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow. Experience with embedded systems, FPGA Architecture or AI accelerators. Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management. What You Will Learn How to explore and push the boundaries of AI performance on custom silicon and help developers do the same. What it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between. To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale. An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Graphcore
VerifiedAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking an experienced Staff UEFI Engineer to design, develop, and deploy UEFI-based firmware for Graphcore’s hyperscale AI server platforms. This role focuses on developing system firmware responsible for platform initialization, hardware configuration, and reliability features across large-scale data center deployments. The Team Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. The Firmware Engineering team develops the foundational firmware responsible for platform initialization, hardware configuration, and system reliability across Graphcore’s AI compute infrastructure. The team collaborates with silicon engineering, hardware design teams, BMC firmware teams, validation engineers, and platform architects to enable reliable server platform bring-up and operation. Responsibilities and Duties Design, develop, and deploy UEFI-based firmware for hyperscale server platforms. Collaborate with ODM partners throughout the design lifecycle from concept to mass production. Integrate UEFI firmware into CI/CD pipelines enabling automated builds, regression testing, and static analysis. Develop firmware functionality supporting platform initialization including CPU, memory, PCIe, and system interconnects. Implement system firmware security features including root of trust, secure boot chains, and signed firmware updates. Develop platform firmware features supporting server reliability, availability, and serviceability (RAS). Build firmware interfaces supporting telemetry, firmware updates, and system management capabilities. Collaborate with hardware, BMC, security, and validation teams to ensure full platform integration. Debug and perform root cause analysis for firmware and hardware issues across lab and production environments. Candidate Profile Essential Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. 8+ years of experience developing UEFI or BIOS firmware for server platforms. Expertise with UEFI, TianoCore, and firmware architecture design. Strong experience developing firmware solutions for hyperscale or cloud data center environments. Strong programming skills in C/C++. Deep understanding of DDR memory training, cache coherency protocols, and PCIe subsystems. Strong knowledge of server platform architecture including power delivery, thermal management, sensors, and FRUs. Experience implementing CI/CD pipelines for firmware development. Experience debugging system firmware using logic analyzers, JTAG, GDB, and similar tools. Desirable Experience developing UEFI firmware for ARM-based server platforms. Experience with EDK II codebase development and upstream contribution. Experience working with ODM/JDM partners on server platform development programs. Experience delivering firmware for hyperscale cloud deployments and production environments. USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Graphcore
VerifiedAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Director of Automation, the Staff Robotics Engineer will provide technical leadership for the design, integration, validation, and deployment of robotic automation systems for data center operations. This role will work closely with internal Graphcore teams, SoftBank Robotics, SoftBank Group affiliates, and external technology partners to turn R&D concepts into scalable, production-ready robotic capabilities. Example systems may include robotic manipulation, material transport, inspection, rack/server handling, autonomous mobile robots, or other automation solutions for data center operations. This role is based in Austin and may require periodic travel to partner, manufacturing, lab, or deployment sites, including occasional collaboration across APAC time zones. The Team The automation team is responsible for helping the vision of Softbank Group to automate data center, working with internal Graphcore teams and Softbank Group affiliates. The team works closely with Softbank Robotics and its partners and other third parties to solve complex solutions for data center operations. Our focus is on delivering robust, production-quality systems that bridge cutting-edge research and real-world deployment. Responsibilities and Duties This role is expected to operate with high autonomy, define technical direction for ambiguous robotics automation problems, influence partner roadmaps, and establish engineering standards for scalable deployment. Align robotics, data center, internal engineering, SoftBank Group, and third-party partner teams to provide scalable autonomy capabilities. Guide and mentor Softbank Group engineers and third-party partners without direct people management responsibilities, elevating technical judgment and Mechatronics best practices. Contribute to technical planning, estimation and delivery of key project milestones. Experience establishing or executing verification and validation processes, including simulation, hardware-in-the-loop testing, FAT/SAT, site validation, or field deployment. Support troubleshooting and root-cause analysis across software, controls, mechanical, and electrical systems. Iterate on end effectors, hardware interfaces, and robotic subsystems with partners. Help build scalable software infrastructure, device management systems, and fleet coordination protocols by collaborating with Softbank Group affiliates and third-party partners. Lead the transition of R&D feasibility studies into production-ready integrated systems. Evaluate emerging technologies, tools and methodologies to improve robotics capabilities and engineering productivity. Produce clear technical documentation and communicate engineering decisions effectively to a range of stakeholders. Candidate Profile Essential 8+ years of experience in automation or equipment engineering, with a focus on mechatronic subsystems and modular machine design. Experience taking robotic or automated systems from prototype/R&D into production or field deployment. Experience with material handling systems, automated equipment, or productionized robotic solutions. Familiarity with 3D localization or VLM-based object detection (e.g., perception/ segmentation). Experience conducting FAT/SAT validation and managing technical deliverables with partners and manufacturers. Proven ability to debug the "full-stack": PLC logic, high-level code (C# or Python), and complex mechanical/electrical hardware. Experience with robotics frameworks and middleware such as ROS/ROS 2 and IsaacSIM for modeling robotic interactions and path planning. Strong understanding of robotics fundamentals including perception, localization, mapping, planning or control. Ability to lead technical initiatives and influence engineering direction through expertise and collaboration. Excellent problem-solving and analytical skills. Strong communication skills with the ability to work effectively across multidisciplinary teams. Degree in Mechatronics, Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Mathematics, or a related technical field, or equivalent practical experience. Desirable Experience applying machine learning or AI techniques within robotics systems. Experience with simulation environments and digital twin technologies. Knowledge of computer vision, sensor fusion or reinforcement learning techniques. Experience deploying robotics applications to cloud, edge or embedded environments. Familiarity with GPU acceleration, high-performance computing or AI infrastructure. Experience contributing to open-source robotics projects or technical communities. Experience working in research-intensive or advanced technology environments. Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Graphcore
VerifiedAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment. Responsibilities and Duties Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. Support engineering bring-up activities, including component validation and firmware interaction testing. Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues. Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements. Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles. Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability. Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation. Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics. Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases. Candidate Profile Essential Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. 10 years experience with server hardware architectures and board-level debugging. Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures. Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure. Strong collaboration skills and ability to work effectively in fast-paced engineering environments. Excellent written and verbal communication skills. Desirable Experience supporting prototype or pre-production hardware bring-up. Familiarity with data center facilities, including liquid cooling and power distribution systems. Experience using Python, Bash, or automation tools for hardware validation or troubleshooting. Exposure to structured failure analysis and reliability engineering methodologies. USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Graphcore
VerifiedAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to an Engineering leader, the Staff Engineering Coordination Support role is responsible for coordinating engineering activities across multiple teams, ensuring effective planning, execution tracking, communication, and operational alignment. The role acts as a central point of coordination for engineering programmes and initiatives, helping teams manage priorities, dependencies, risks, and delivery commitments while supporting efficient collaboration across the organisation. This structure follows the Graphcore job description guidance for role summaries. The Team The Engineering Coordination team supports the effective operation of engineering functions across Graphcore. The team works closely with engineering leaders, technical specialists, project stakeholders, and business partners to improve visibility, facilitate communication, coordinate planning activities, and enable successful delivery of engineering objectives. The team provides operational support that helps engineering groups work efficiently across projects, teams, and locations. Responsibilities and Duties Coordinate engineering planning activities, schedules, milestones, and deliverables across multiple teams. Track progress against agreed plans and provide regular status updates to stakeholders. Identify, monitor, and help manage project dependencies, risks, issues, and actions. Facilitate engineering meetings, reviews, planning sessions, and cross-functional coordination activities. Maintain project documentation, reporting dashboards, action logs, and operational records. Support engineering leaders with resource planning, prioritisation activities, and workload visibility. Drive follow-up actions to ensure commitments are completed and blockers are escalated appropriately. Collaborate with technical and non-technical stakeholders to improve communication and information flow. Assist in the implementation and continuous improvement of engineering processes, tools, and ways of working. Produce clear and concise reports, presentations, and communications for engineering and business audiences. Coordinate activities across geographically distributed teams to support efficient execution. Contribute to operational excellence initiatives that improve predictability, efficiency, and delivery outcomes. Candidate Profile Essential 10 years experience coordinating complex technical, engineering, programme, or operational activities. Strong organisational skills with the ability to manage multiple priorities simultaneously. Experience tracking actions, risks, issues, dependencies, and delivery milestones. Excellent written and verbal communication skills with the ability to engage a wide range of stakeholders. Ability to influence outcomes and drive progress without direct authority. Strong analytical and problem-solving skills with attention to detail. Experience using project management, planning, reporting, or collaboration tools. Ability to work effectively in a fast-paced, cross-functional environment. Strong stakeholder management skills and the ability to build effective working relationships. Proactive approach to identifying improvements and resolving coordination challenges. Desirable Experience supporting engineering, software, hardware, semiconductor, or technology-focused organisations. Knowledge of project, programme, or portfolio management methodologies. Experience creating executive-level reporting and operational dashboards. Familiarity with Agile, Scrum, Kanban, or similar delivery frameworks. Experience coordinating activities across international or distributed teams. Understanding of engineering product development lifecycles. USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Graphcore
VerifiedAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment. Responsibilities and Duties Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. Support engineering bring-up activities, including component validation and firmware interaction testing. Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues. Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements. Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles. Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability. Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation. Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics. Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases. Candidate Profile Essential Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. 8 years of strong experience with server hardware architectures and board-level debugging. Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures. Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure. Strong collaboration skills and ability to work effectively in fast-paced engineering environments. Excellent written and verbal communication skills. Desirable Experience supporting prototype or pre-production hardware bring-up. Familiarity with data center facilities, including liquid cooling and power distribution systems. Experience using Python, Bash, or automation tools for hardware validation or troubleshooting. Exposure to structured failure analysis and reliability engineering methodologies. USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Graphcore
VerifiedAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment. Responsibilities and Duties Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. Support engineering bring-up activities, including component validation and firmware interaction testing. Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues. Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements. Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles. Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability. Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation. Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics. Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases. Candidate Profile Essential Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. 7 years experience with server hardware architectures and board-level debugging. Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures. Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure. Strong collaboration skills and ability to work effectively in fast-paced engineering environments. Excellent written and verbal communication skills. Desirable Experience supporting prototype or pre-production hardware bring-up. Familiarity with data center facilities, including liquid cooling and power distribution systems. Experience using Python, Bash, or automation tools for hardware validation or troubleshooting. Exposure to structured failure analysis and reliability engineering methodologies. USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Graphcore
VerifiedAbout Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal tooling for building, testing and integrating together the ML Software Stack Developing tools and technical processes for Software Releases Providing guidance to developers on best build practices and dependency management Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack Working closely with QA and the ML Software Stack to resolve any integration issues Contributing fixes towards the ML Software Stack Essential: Knowledge of Python/C++ (or similar language) Understanding of Build Processes and Frameworks Experience working in Linux environments Good communication skills Desirable: Experience with Remote Caching and Execution (e.g. Bazel) Experience with Build Tools (e.g. CMake) Experience with Testing Frameworks (e.g. PyTest, GoogleTest) Experience with Integration Tools (e.g. Buildstream) Experience working within the Software Development Lifecycle (SDLC) Experience with building and using containers (e.g. Docker, Podman) An understanding of Software Architecture patterns Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Tenstorrent
VerifiedBack to jobsField Application Engineer, South East AsiaSingaporeApplyTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.We are looking for a Field Application Engineer to serve as the technical bridge between Tenstorrent and customers across Southeast Asia. Based in Singapore, you will work closely with customers, partners, sales, and global engineering teams to understand AI and machine learning workloads, guide technical evaluations and deployments, troubleshoot issues across hardware and software, and help customers realize the performance of Tenstorrent’s AI platforms. This is a highly visible, customer-facing role that combines hands-on technical problem solving, solution development, and regional relationship building, with regular travel throughout Southeast Asia. This role is remote, based out of Singapore. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A customer-focused technical professional who can build trust with application developers, engineering teams, and business stakeholders. Comfortable translating complex AI/ML hardware and software concepts into clear recommendations for both technical and non-technical audiences. A proactive and self-directed problem solver who can coordinate internal teams, external service providers, and customer stakeholders across South East Asia. Willing and able to travel to customer sites for installations, maintenance, troubleshooting, demonstrations, and proof-of-concept delivery. What We Need Experience as a Field Application Engineer, Application Engineer, Sales Engineer, Solutions Architect, or in a similar customer-facing technical role focused on AI/ML software and hardware. Strong Python programming skills and deep familiarity with AI/ML frameworks such as PyTorch and TensorFlow; experience with Generative AI, LLMs, vision models, model deployment, training, or fine-tuning is preferred. Experience designing scalable AI solutions and deploying applications in cloud environments, as well as physically installing, moving, and repairing servers, accelerator cards, and PCIe devices. A Bachelor's degree or higher in Computer Science, Engineering, or a related field. Experience with C++, CUDA, parallel programming, or kernel develo
Graphcore
VerifiedAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Senior Firmware Validation Engineer to support validation and quality assurance for the rack-level firmware stack across Graphcore’s ARM-based server platforms. This role focuses on validating firmware components including SoC firmware (EDK II/UEFI), OpenBMC firmware, rack management services, and platform-level infrastructure used in hyperscale AI server deployments. The Team Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. The Platform Validation team ensures the reliability and quality of Graphcore’s firmware and system software stack across server nodes and rack-scale AI infrastructure. The team collaborates closely with firmware engineering, silicon teams, hardware engineering, and ODM partners to validate complex platform management stacks and ensure production readiness. Responsibilities and Duties Define and execute validation strategy for rack-level firmware stacks across ARM server platforms. Develop validation plans and automated test frameworks for platform bring-up and firmware lifecycle management. Integrate automated test cases for rack-level firmware components into CI/CD pipelines. Validate firmware update frameworks including signed updates, redundancy mechanisms, and rollback protection. Drive validation of platform security features including Root of Trust, secure boot, and TPM integration. Participate in system-level debugging and root cause analysis across firmware, hardware, and platform integration. Develop automation frameworks and regression testing pipelines supporting firmware validation. Collaborate with silicon vendors, ODM partners, and platform engineering teams during bring-up and manufacturing ramp. Candidate Profile Essential Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. Must have 6+ years of experience in firmware or platform validation for server or data center systems. Experience validating ARM server firmware stacks including UEFI/EDK II and OpenBMC platforms. Strong understanding of server architecture including power delivery, thermals, networking, and rack infrastructure. Experience validating firmware security features including Root of Trust and secure boot. Strong familiarity with firmware lifecycle management and firmware update frameworks. Experience building automation frameworks and CI/CD pipelines for firmware validation. Desirable Experience validating rack-scale firmware platforms in hyperscale or AI cloud environments. Hands-on experience with EDK II/UEFI validation and OpenBMC system testing. Experience validating firmware for liquid-cooled or high-density server platforms. Experience building hardware-in-the-loop (HIL) or rack-level automated validation environments. Experience validating high-speed interconnects such as PCIe in large-scale deployments. Familiarity with hardware debug tools including JTAG, GDB, and logic analyzers. Experience validating platform management protocols such as Redfish, PLDM, MCTP, and IPMI. USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Graphcore
VerifiedAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting into the Hardware Systems Engineering organization, the Principal Engineering Program Manager is responsible for planning, coordinating, and driving the successful execution of complex hardware programs. Working closely with Hardware Systems Engineering, Electrical, Mechanical, Firmware, Validation, and Manufacturing Engineering teams, as well as external ODM, JDM, and contract manufacturing partners, the role drives engineering execution through manufacturing planning, factory readiness, manufacturing test readiness, and engineering build execution. Acting as the operational hub between development engineering and manufacturing, the role ensures engineering deliverables, manufacturing capabilities, and program milestones remain aligned to enable successful engineering builds and product qualification. The Team The Hardware Systems Engineering team develops and integrates high-performance AI hardware systems, including server platforms, PCBAs, mechanical assemblies, and supporting infrastructure. Working closely with Electrical, Mechanical, Firmware, Validation, Manufacturing Engineering, Supply Chain, and Operations teams, alongside external ODM, JDM, and contract manufacturing partners, the team focuses on enabling robust hardware designs, effective system integration, and manufacturing readiness during the early stages of product development. Responsibilities and Duties Lead complex hardware programs through manufacturing planning, factory readiness, and engineering build execution, partnering with development engineering teams to ensure designs, engineering deliverables, manufacturing processes, tooling, test infrastructure, and cross-functional activities are aligned to support successful prototype builds and product qualification. Partner with Hardware Systems Engineering, Electrical, Mechanical, Firmware, and Validation teams to translate engineering requirements into executable manufacturing and engineering build plans. Drive cross-functional execution across Hardware, Firmware, Validation, Manufacturing Engineering, Supply Chain, Quality, and Operations teams to ensure engineering and manufacturing activities remain aligned. Manage technical engagement with ODM, JDM, and contract manufacturing partners to ensure engineering requirements, manufacturing readiness activities, and build objectives are executed successfully. Coordinate manufacturing readiness activities, including engineering build planning, factory readiness, manufacturing test readiness, and qualification milestones. Drive manufacturing test readiness by coordinating the delivery and validation of production test hardware, software, fixtures, diagnostics, and manufacturing test procedures prior to engineering builds. Partner with Hardware Engineering, Validation, and Manufacturing Engineering teams to ensure manufacturing test coverage, test limits, and acceptance criteria support engineering validation objectives. Work with ODM, JDM, and contract manufacturing partners to commission and qualify manufacturing processes, tooling, and test infrastructure ahead of engineering builds. Drive engineering build execution by monitoring progress, identifying technical and operational issues, and coordinating cross-functional teams to resolve blockers quickly. Coordinate engineering change implementation across development and manufacturing teams, ensuring design updates are effectively communicated, validated, and incorporated into engineering builds. Lead cross-functional reviews of engineering and manufacturing issues, driving root cause analysis, corrective actions, and closure of engineering actions. Monitor program risks across engineering development, supplier readiness, and manufacturing execution, driving mitigation plans where required. Develop program reporting that provides clear visibility into engineering build readiness, manufacturing readiness, schedules, technical risks, and key delivery metrics. Drive continuous improvement of engineering operations, engineering build execution, manufacturing readiness, and program management processes. Candidate Profile Essential 10 years of demonstrated experience leading complex hardware system development programs through engineering builds and manufacturing readiness. Experience working directly with ODM, JDM, or contract manufacturing partners. Strong understanding of manufacturing operations, new product introduction (NPI), engineering build execution, and manufacturing readiness activities. Experience delivering manufacturing test readiness, including production test development, factory test implementation, and manufacturing validation. Strong understanding of hardware development lifecycles, engineering change management, and cross-functional engineering execution. Experience coordinating multidisciplinary engineering teams, including Hardware, Electrical, Mechanical, Firmware, Validation, and Manufacturing Engineering. Excellent program planning, risk management, and stakeholder management skills. Strong communication skills with the ability to influence engineering, operations, and manufacturing leadership. Desirable Experience with server platforms, enterprise hardware, or high-performance computing systems. Knowledge of manufacturing quality systems, failure analysis, and corrective action methodologies. Experience working with global manufacturing sites and international engineering teams. Familiarity with PLM, ERP, and Manufacturing Execution Systems (MES). PMP, Agile, or equivalent program management certification. USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Graphcore
VerifiedSalary Range: PLN 350,700 - 474,400 PLN Subject to alignment to the responsibilities and duties of the role About the job Help Graphcore’s Frameworks engineers in Gdańsk build the tools that make our hardware easier to use. Reporting to the Director of Frameworks, you will lead engineers contributing to our PyTorch and Triton teams. You will support their development, clarify priorities and keep feedback flowing across locations. This role blends people leadership with real technical ownership. You will contribute to PyTorch, Triton or related Frameworks work through design, implementation, review, debugging, testing or performance analysis. You will help engineers deliver high-quality work while staying fully connected to their teams. It is a rare chance to shape both software outcomes and engineering culture at a growing site. The team and culture Frameworks makes Graphcore hardware work seamlessly with the tools machine learning engineers and researchers use. The team builds PyTorch support, an out-of-tree Triton backend, framework integrations, runtime components, kernels, tests, performance tooling and user documentation. Work happens across locations, so clear writing, shared context and constructive challenge matter. You will help Gdańsk engineers stay close to technical leaders, team priorities and the decisions shaping delivery. People are trusted to take responsibility, speak up and move with purpose. The team values learning, maintainability, performance, ease of use and thoughtful collaboration with open-source communities. What we’re looking for Experience managing and developing software engineers, including coaching, feedback, performance management and career development Strong software engineering capability, with professional experience in C++ and Python Clear written and verbal communication in English and Polish, especially when explaining complex technical context Ability to build alignment across teams, locations and disciplines Pragmatism when balancing people leadership, hands-on technical contribution, engineering quality and delivery Experience with PyTorch, Triton, compiler development, MLIR, LLVM, machine learning kernels or accelerator architectures While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. Benefits Flexible working: Balance your work and personal life with greater flexibility Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family Phantom equity: Share in Graphcore’s success Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres Financial protection: Death and disability insurance, providing financial security for you and your loved ones Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to lead engineers while staying close to the technology that powers AI frameworks, we’d love to hear from you. Apply now to help shape Frameworks at Graphcore.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we're building cutting-edge AI compute solutions. Developing diagnostics programs to validate the functionality and stress the performance of our solutions is a critical part of delivering exceptional products. We are looking for Engineers to join our Diagnostics Development team. These engineers will work closely with our firmware, software, board, ASIC design and verification teams to ensure that the ASICs, boards, and AI compute systems meet the highest standards of quality and performance. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You're curious, hands-on, and excited by the challenge of building powerful systems that sit at the intersection of hardware and software. You enjoy working close to the metal, whether that’s writing code, debugging hardware, or exploring how systems perform under stress. You thrive in collaborative environments and love learning from teammates across disciplines like firmware, ASIC design, and manufacturing. You’re motivated by impact and want to contribute to technology that’s shaping the future of AI and computing. What We Need A strong technical contributor who can design and develop diagnostics software to validate and stress-test ASICs, boards, and AI compute systems. A collaborator who partners effectively across firmware, hardware, ASIC, and manufacturing teams to deliver robust diagnostics solutions. A hands-on problem-solver with the skills to debug complex system-level issues using tools like JTAG, internal scripts, and hardware interfaces. A forward-thinker and systems builder who can lead efforts to enhance diagnostics infrastructure for long-term scalability, efficiency, and reuse. What You Will Learn How diagnostics drive the performance, reliability, and success of next-gen AI compute platforms. Best practices for bringing up and validating complex SoC hardware in pre-silicon and post-silicon environments. How to collaborate with cross-functional teams such as firmware, ASIC, hardware, software, and manufacturing, to build world-class products. The impact diagnostics has on product quality, design feedback loops, and high-volume production in a rapidly evolving AI landscape. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Forward Deployed Engineer who’s excited to build with the engineers using the AI computers Tenstorrent makes. You will create continuity between customers, engineering, and AI inference service products. This is an engineering role first: you contribute production code, operate deployments, and you can explain a trade-off to customer leadership as clearly as to core engineering teams. This is a high-autonomy role with direct customer impact. This role is remote, based out of North America, with preference near one of our main hubs: Santa Clara, CA; Austin, TX; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don't treat hardware as a black box. You're an early adopter of AI for your work from coding to building agentic workflows that multiply your impact. You work directly with customers to understand their challenges and provide effective solutions. You are comfortable debugging across the full inference stack: from failing requests, through the serving layer, down to OOMs or kernel dispatch if need be. You bring feedback in the form of pull requests, reproducible code, benchmarks, and telemetry data. What We Need Strong software engineering skills with 5+ years of relevant technical experience (e.g. Applied Engineer, Machine Learning Engineer, MLOps Engineer, Platform Engineer, Infrastructure Engineer, Site Reliability Engineer, Field Application Engineer). Experience turning ambiguous customer requirements or issues into verifiable acceptance criteria. Kubernetes and Helm experience at multi-node, HPC, or AI cluster scale. Experience with observability and infrastructure automation, e.g. Prometheus, Grafana, OpenTelemetry. Experience with LLM inference serving engines and technologies, e.g. vLLM, SGLang, Mooncake, NIM, Dynamo, LMCache. What You Will Learn Where co-design of AI hardware and software translates into unique latency and throughput performance. How to scale disaggregated inference services on Kubernetes while balancing performance, reliability, and tactical tradeoffs. What makes enterprise AI deployments successful: from technical requirements through software delivery, cluster-scale validation, and production ownership. Why customer insights from the field shape the best products. How to build agentic workflows for asymmetric impact. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a hands-on Staff Software Engineer with a platform infrastructure / Site Reliability Engineering (SRE) background to help build and operate the systems behind Tenstorrent’s AI cloud. This team develops and runs both on-prem and public cloud infrastructure and services that support high-performance AI workloads. The role spans backend development, service integrations, infrastructure-as-code, CI/CD, and reliability engineering, with room to go deeper in a specialty while working across the stack. This role is hybrid, based out of Austin, TX; Santa Clara, CA; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Strong software engineer with a track record of designing and delivering complex production services and applications. Fluent in Python, with Go and/or TypeScript as a plus. Experienced with Kubernetes and comfortable working across bare metal, virtual machines, and modern cloud infrastructure; AWS experience is a plus. Familiar with observability and production operations across hardware, system, and application layers, including monitoring, alerting, and telemetry. Bonus points for depth in network automation, storage platforms, and/or cloud or application security. What We Need Build and improve backend services and platform integrations that power Tenstorrent’s on-prem and public AI cloud environments. Raise the bar on infrastructure automation through CI/CD and Infrastructure-as-Code practices using tools such as Ansible and Terraform. Strengthen platform reliability with better observability, monitoring, alerting, and operational response across the stack. Partner effectively with end-users, peers, and domain experts to turn complex infrastructure needs into dependable systems. Bring technical leadership, strong engineering judgment, and a mindset of continuous learning that helps the team scale its capabilities. What You Will Learn How AI cloud infrastructure comes together end-to-end, from data center hardware and fleet operations to user-facing services and interfaces. What it takes to run reliable, high-performance AI workloads across both on-prem and public cloud environments. How hardware, software, networking, storage, and operations intersect inside a real-world AI platform. How to expand into adjacent parts of the stack without getting boxed into a narrow silo. How to apply the latest AI tools in day-to-day engineering work while building practical systems that matter. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Austin, TX; or Toronto,ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions. Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements. What We Need Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager). Your field insight will help shape our roadmap, our features, and the way we show up for developers. Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow. Experience with embedded systems, FPGA Architecture or AI accelerators. Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management. What You Will Learn How to explore and push the boundaries of AI performance on custom silicon and help developers do the same. What it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between. To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale. An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. This role sits at the deep-tech intersection of silicon development, low-level firmware, and high-speed networking. You won't just be writing drivers; you’ll be the bridge between our AI silicon and the network. You will work with best-in-class Ethernet IP and in-house designs to architect, enable, and optimize the firmware that powers next-generation AI infrastructure. The role is focused on the hardware-software boundary, spanning silicon bring-up, SerDes/PHY configuration, and performance tuning to ensure seamless, high-performance connectivity across complex, large-scale platforms. This role is hybrid, based out of Toronto, Canada or Vancouver Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You are passionate about the "first few layers" of the stack. You’d rather debug a link-training state machine than a high-level application. You thrive on understanding the inner workings of Ethernet hardware (MAC/PHY/PCS) and how to control it efficiently via bare-metal firmware. You enjoy the "detective work" of hardware bring-up, using oscilloscopes or logic analyzers when the software behavior doesn't match the silicon's intent. You speak the languages of both the RTL team and the Network Software team, translating hardware constraints into software requirements. What We Need Develop and maintain low-level firmware to manage Ethernet MAC, PHY, and SerDes components. Drive silicon bring-up and validation of networking subsystems in the lab. Implement and optimize link-training algorithms and auto-negotiation protocols. Work closely with silicon architects to influence the design of next-generation networking hardware from a firmware perspective. Debug complex hardware-software interactions, including signal integrity issues and protocol-level timing bugs. What You Will Learn What it means to shape AI acceleration hardware and networking infrastructure from the ground up. How cutting-edge Ethernet technologies are integrated and optimized for large-scale AI systems and high-performance compute platforms. The mastery of collaborating with world-class silicon, systems, and software teams to solve frontier engineering challenges. How to help define the networking architecture that will power the next era of AI platforms. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. About Tenstorrent Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. This role sits at the intersection of technical expertise and customer engagement, focused on helping customers and internal teams bring up and optimize AI models on Tenstorrent platforms. This role is hybrid, based out of Tokyo, Japan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Tenstorrentについて Tenstorrentは、最先端のAI技術で業界をリードし、性能、使いやすさ、コスト効率の常識を変えています。AIによってコンピューティングのあり方が再定義される中、ソフトウェアモデル、コンパイラ、プラットフォーム、ネットワーキング、半導体における技術革新を一体として進化させることが求められています。Tenstorrentの多様な技術者チームは、高性能なRISC-V CPUをゼロから開発してきました。そして、AIへの情熱と、最高のAIプラットフォームをつくりたいという強い思いを共有しています。私たちは、コラボレーション、好奇心、そして難しい課題に真摯に向き合う姿勢を大切にしています。現在、さまざまなレベルの方を歓迎しながらチームを拡大しています。 このポジションは、技術的な専門性と顧客・社内連携の両方が求められる役割であり、顧客や社内チームがTenstorrentプラットフォーム上でAIモデルを立ち上げ・最適化できるよう支援することにフォーカスしています。 本ポジションは日本・東京を拠点としたハイブリッド勤務です。 本ポジションでは、さまざまな経験レベルの候補者を歓迎しています。面接プロセスを通じて適切なレベルを判断し、オファー内容はそのレベルに応じて決定されるため、本求人票上のレベル表記と異なる場合があります. About the Role As a Software Engineer on the AI Models / System Bring-Up team, you will be responsible for porting, validating, and optimizing AI models on Tenstorrent platforms. Working across models, runtime software, and hardware, you will help connect new models, models not yet running on Tenstorrent hardware, and research-stage workloads to stable, high-performance systems. 募集ポジションについて AI Models / System Bring-UpチームのSoftware Engineerとして、Tenstorrentのプラットフォーム上でAIモデルの移植、検証、最適化を担当していただきます。モデル、ランタイムソフトウェア、ハードウェアを横断して、新たなモデルや、まだTenstorrentのハードで動作していないモデル、研究段階のワークロードを安定した高性能システムへとつなげていくポジションです Who You Are You have hands-on experience with deep learning models in at least one major framework such as PyTorch, TensorFlow, or JAX. You are strong in Python or C++, with a solid understanding of neural network architectures, training, and inference fundamentals. You are comfortable developing in Linux environments and can debug issues across software, runtime, and hardware layers. You are collaborative and curious, and hold a degree in Computer Science, Engineering, Applied Mathematics, or a related field, or have equivalent practical experience. You have business-level Japanese and sufficient English proficiency to work effectively in a global environment. 求める人物像 PyTorch、TensorFlow、JAXなど、主要な深層学習フレームワークのいずれかでのモデル実務経験をお持ちの方 PythonやC++に強みがあり、ニューラルネットワークの構造、学習、推論の基本理解がある方 Linux環境での開発に慣れており、ソフトウェア・ランタイム・ハードウェアをまたぐ課題のデバッグができる方 協調性と好奇心があり、Computer Science、Engineering、Applied Mathematics関連の学位、または同等の実務経験をお持ちの方 ビジネスレベル日本語と業務遂行が可能なレベルの英語力がある方 What We Need Port, optimize, and validate AI models such as LLMs, CNNs, recommendation models, and vision models on Tenstorrent hardware. Port and integrate models into Tenstorrent toolchains and runtime environments. Design and run experiments to evaluate model accuracy, performance, and stability. Debug cross-stack issues and collaborate closely with hardware, compiler, and runtime teams. お任せする業務 LLM、CNN、推薦モデル、ビジョンモデルなどのAIモデルをTenstorrentのハードウェアに移植、最適化したり、検証すること モデルをTenstorrentのツールチェーンおよびランタイム環境へ移植・統合すること モデルの精度、性能、安定性を評価するための実験を設計・実施すること スタック横断の課題をデバッグし、ハードウェア、コンパイラ、ランタイムの各チームと密に連携すること What You Will Learn How AI models are brought up and optimized on Tenstorrent AI accelerators. How hardware, compiler, runtime, and model teams work together to build production-ready systems. Best practices for model porting, optimization, automation, regression testing, and performance tuning. How to translate real-world model requirements into practical technical solutions. このポジションで得られること TenstorrentのAIアクセラレータ上でAIモデルをどのように動かし、最適化していくか ハードウェア、コンパイラ、ランタイム、モデルの各チームがどのように連携して実運用向けシステムを作るか モデルの移植、最適化、自動化、回帰テスト、性能チューニングのベストプラクティス 実際のモデル要件を、実用的なソリューションへ落とし込む方法 Nice to Have Experience with LLM or foundation model inference, including KV-cache optimization and quantization. Background in compiler or runtime engineering for ML workloads. Exposure to post-silicon validation, board bring-up, firmware development, or accelerator platforms. Experience working directly with customers or field teams on AI workload deployment and debugging. Strong spoken English for technical discussions with global hardware, compiler, runtime, and model teams. 歓迎要件 LLMまたは基盤モデル推論の経験（KV-cache最適化、量子化を含む） MLワークロード向けのコンパイラまたはランタイム開発の経験 ポストシリコン検証、ボードbring-up、ファームウェア開発、アクセラレータ基盤に関する経験 AIワークロードの導入やデバッグで、顧客やフィールドチームと直接連携した経験 本社とのハードウェラ、コンパイラ、ラインタイム、モデルの各チームと連携し、議論できる英会話力 This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a Software Engineer on the Acceleration Kernel Development team at Tenstorrent, you’ll work at the intersection of software and hardware performance. You’ll be writing low-level code that directly powers high-efficiency machine learning workloads, optimizing every cycle, every memory move, every instruction. If you're motivated by performance, precision, and real impact, this is where your skills will shine. This role is hybrid, based out of Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A developer who loves high performance code, parallel algorithms, wrangling bits, optimizing compute, and making hardware fly. Great in C/C++ and able to build fast, efficient code from the ground up. Obsessed with performance and precision, especially in ML workloads. Motivated by complex problems and thrives in collaborative, fast-moving environments. What We Need Expertise in building and optimizing compute kernels for parallel ML and high-performance workloads. Ability to analyze and tune instruction-level performance across latency, memory, and bandwidth. A collaborative mindset to work closely with ML engineers and integrate optimizations into production. Ownership of debugging, profiling, and maintaining a fast, reliable low-level software stack. What You Will Learn The art of pushing AI hardware to its limits by shaping how kernels are written and executed. How to integrate kernel work into ML frameworks and real-world training pipelines. Skills in tuning performance on cutting-edge architectures with top-tier hardware engineers. Expertise in keeping code lean, reliable, and scalable even under heavy workloads. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Join Tenstorrent’s AI Models team and work at the layer most ML engineers never see: bringing advanced models to life on custom AI hardware. You’ll own real workloads end‑to‑end including porting, tuning, and validating LLMs and vision models on our accelerator, and chasing down every last millisecond and percentage point of accuracy. This role is for people who love the craft of ML engineering and want their work to matter at silicon scale, not just behind another API. This role is hybrid, based in Cyprus. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Bring up, run, and debug modern ML models (e.g., transformers) using PyTorch or TensorFlow. Analyze model behavior and performance, and identify bottlenecks across the stack. Improve efficiency, correctness, and scalability of model execution in real systems. Work closely with compiler, kernel, and hardware teams to drive performance and system-level improvements. Help translate state-of-the-art model architectures into production-grade, high-performance deployments. What We Need Strong experience building and working with ML models in PyTorch or TensorFlow. Strong understanding of modern ML model architectures (ex: transformers). Solid software engineering fundamentals with strong debugging and problem-solving skills. Comfort working in a fast-moving, research-meets-engineering environment. Bonus, not required: experience with profiling or performance tuning, or familiarity with quantization, flash attention, kernel fusion, memory hierarchies, C++, CUDA, or systems programming. What You Will Learn How to bring state‑of‑the‑art LLMs and vision models to high performance on a custom AI accelerator. How to trace and fix performance bottlenecks from PyTorch code down to kernels and memory systems. How to turn research‑grade models into reliable, production deployments on new hardware. The practical trade‑offs between techniques like quantization, FlashAttention, and kernel fusion when you’re optimizing real throughput, latency, and memory. How your findings can drive changes across compiler, kernel, and hardware teams in a full‑stack co‑design loop Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of Munich, Germany; Poland or Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions. Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements. What We Need Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager). Your field insight will help shape our roadmap, our features, and the way we show up for developers. Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow. Experience with embedded systems, FPGA Architecture or AI accelerators. Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management. What You Will Learn How to explore and push the boundaries of AI performance on custom silicon and help developers do the same. What it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between. To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale. An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Tenstorrent
VerifiedTenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a C++ Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll work on the training framework behind our most advanced models. You’ll write high-performance C++ code, shape how new layers and operators are implemented, and help models scale across our custom silicon. If you enjoy building the guts of ML systems and seeing them run fast, this role is for you. This role is hybrid, based out of Warsaw or Gdansk, Poland. We also consider remote candidates within Poland on a case-by-case status. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Strong in C++ and low-level systems programming, especially in performance-critical code. Comfortable thinking in tensors, memory layout, and compiler graphs. Familiar with PyTorch and curious about how frameworks map to hardware. A builder who enjoys solving technical puzzles and digging into the details. What We Need Extend and optimize our ML training framework with new ops, layers, and training features. Debug and tune model performance on Tenstorrent chips. Work with compiler and kernel teams to make sure models compile and run as expected. Support integration of real-world models and help bring them into production. What You Will Learn How ML frameworks and compilers connect at the system level. How to translate training workloads into low-level operations optimized for custom silicon. How large-scale model training works under the hood, from memory layout to operator fusion. What it takes to build infrastructure that supports fast iteration in research and production. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Graphcore
VerifiedAbout us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. About the Role We are looking for System Software Engineer in Test to join our team. In this role, you will be responsible for design, development, automation and reporting of Integration and system tests spanning across firmware and device drivers. You will be working closely with developers and other QA engineers to understand use-cases, manage hardware and other resources and develop system tests across all the components. About the Team Integration and system test team is responsible for verification and validation of integrated components across Board management controller (BMC), Firmware and Linux device driver. The team is also responsible for management and maintenance of common tools and pipelines used across the system software organization. Responsibilities and Duties Implement and deliver high quality tests for complex system features Develop packaging solutions for seamless integration Develop, enhance and maintain the CI/CD pipelines. Collaborate with other teams to understand the use-cases and develop integration and acceptance test plans. Active involvement in technical discussions and reviews for the team. Candidate Profile Essentials 3+ years of industry experience low level system testing and integration solutions. Experience with test development using C/C++ and Python programming languages. Experience with CI/CD, Build tools and modern testing practices. Strong communication skills and the ability to document Desired Experience working with server class systems Experience in Qemu or similar emulator environments Experience working with RTOS or openBMC. Benefits In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
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