Graphcore

About GraphcoreAt Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job SummaryOur team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. The availability of specialized artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do, really makes a difference. We seek a Technical Sourcing Manager reporting to the Supply Chain Director, accountable for strategic sourcing of PCBA components, supplier relations, and commercial results across important hardware categories. Located in Taipei, the team partners closely with regional suppliers and internal collaborators to guarantee an efficient, high-quality, and consistent supply of components vital for hardware production. The TeamThe position will be within the Supply Chain team at Graphcore. This team belongs to the Operations group and includes members located in Bristol and Taiwan. The team handles the creation and oversight of a strong manufacturing subcontract supply chain for Graphcore. Responsibilities and Duties - Responsible for sourcing PCBA components, including supplier identification, evaluation, and selection. - Negotiate commercial agreements, pricing, and contracts with suppliers to achieve cost, quality, and delivery objectives. - Manage supplier relationships, acting as the primary point of contact for key vendors. - Partner with engineering and manufacturing teams to support new product introduction and build for supply chain considerations. - Drive cost optimization initiatives including value engineering and competitive sourcing strategies. - Monitor supplier performance against important metrics and implement improvement plans where required. - Identify and mitigate supply chain risks, ensuring continuity of supply for critical components. - Work together with quality teams to resolve supplier quality problems and promote corrective measures. - Analyze market trends, component availability, and pricing to inform sourcing strategies. - Lead and develop procurement processes, tools, and guidelines within the team. Candidate ProfileEssential: - Minimum 5 years of supply chain expertise, with a strong emphasis on the high-tech sector. - Deep understanding of material planning cycles and a track record of managing EE component suppliers and OEM/ODM partnerships. - Demonstrated success in procurement within electronics or hardware manufacturing; proficient in the PCBA component market and global supplier landscapes. - Proficient in navigating cross-functional environments, coordinating effectively with Engineering, Manufacturing, and Quality teams to promote project success. - Highly analytical with strong commercial instincts and the ability to manage complex collaborator relationships. - Bilingual proficiency in English and Mandarin is preferred to facilitate effective coordination with local suppliers and regional partners Whilst working at Graphcore you’re not just entitled to a highly competitive salary; we also offer a number of valuable benefits to support your health & wellbeing. Such as Medical and Life Insurance, Health Assessment, Holiday and Eye Care. 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.

Role Description Graphcore is seeking a Principal Engineer, Power Engineering to aid in defining the architecture of the power delivery components from grid to chip. You will work closely with multiple cross-functional teams, including hardware engineers, firmware developers, and data center operations, to ensure the infrastructure we build meets customer requirements as well as attaining standards of performance, reliability, and scalability. This role will be based in Austin or San Jose and could potentially be performed onsite or remotely within the US. - Provide thought leadership, planning, and design for power delivery from data center power drop through delivery to systems & chips. - Establish power roadmap. Work with vendors to ensure their planned future technologies are pulled into our system engineering roadmap AND ensure that our (system engineering) required technological innovation is being driven into their (power vendor) roadmap. Work to improve reliability and efficiency of power engineering component over time. - Rack-level power components. Competency with specification of hardware and firmware for rack-level power shelves. Competency with design for resiliency. - Set power policies in the data center for: power buffer/oversubscription, scheduling of jobs based on power, and monitoring (power quality faults) / accommodation faults. Resolve telemetry and data needed to support power policy algorithms. - Ensure robustness of IT power in the presence of grid disturbances and make sure that IT power loads are compatible with grid power requirements (“good grid power citizen”). - Board and system-level power regulation components. Understand and able to apply current VRM, TLDR, and POL technologies. Help to develop new technologies to increase efficiency. Understand manufacturing capabilities and limitations of new technology. - Provide guidance to the power equipment manufacturers, ODM and engineering teams on the required testing and validation procedures for power hardware and firmware components. - Develop and test hardware prototypes as needed to support the exploration and validation of new concepts in power delivery. - Tackle and resolve sophisticated power hardware and firmware issues as needed. - Ensure compliance with industry standards and regulations. Qualifications - Bachelor’s or Master’s or PhD degree in Electrical Engineering with a specialized knowledge of Power Engineering. - Demonstrated ability in power system and delivery architecture, design, and development. - Experience with rack-level hardware design, including servers, storage, networking, and power distribution. - Proficiency in power hardware and firmware development and debugging. - Excellent problem-solving and analytical skills. - Strong communication and teamwork skills. - Ability to work in a fast-paced, multifaceted environment. Requirements - Familiarity with new technologies in AI and data center infrastructure. - Comfortable meeting with and engaging directly with customers (internal and external) during requirements gathering and solution development. 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.

Role Description Help prove the ML software stack that future AI systems will depend on. Graphcore is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware. - You will build the test infrastructure, automation and tooling that engineers trust every day. - Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. - You will shape test architecture across large codebases, CI pipelines and representative ML workloads. - You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute. Qualifications - Strong software design skills, with experience building maintainable systems across large codebases. - Production Python experience, including testable, reliable code used by other engineers. - Experience with CI/CD, automated testing and Linux based development workflows. - Familiarity with C or C++, with confidence reading and debugging low level code. - Understanding of ML frameworks, workloads or model execution beyond simple API usage. - Ability to mentor engineers, improve practices and take ownership of complex technical problems. Benefits - Unlimited annual leave - Up to 5% matched pension - Phantom equity – share in Graphcore’s success - True flexibility in how and where you work - Office spaces designed for collaboration - Free food and an on-site barista - Health cash plan - Income protection - Life assurance - Along with other benefits you can choose from (private medical insurance, dental plan etc) Company Description 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 shape how complex ML software is tested, trusted and improved, we’d love to hear from you. Apply now to be part of the journey.

Role Description Help prove the ML software stack that future AI systems will depend on. Graphcore is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware. - You will build the test infrastructure, automation and tooling that engineers trust every day. - Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. - You will shape test architecture across large codebases, CI pipelines and representative ML workloads. - You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute. Qualifications - Strong software design skills, with experience building maintainable systems across large codebases. - Production Python experience, including testable, reliable code used by other engineers. - Experience with CI/CD, automated testing and Linux based development workflows. - Familiarity with C or C++, with confidence reading and debugging low level code. - Understanding of ML frameworks, workloads or model execution beyond simple API usage. - Ability to mentor engineers, improve practices and take ownership of complex technical problems. Benefits - Unlimited annual leave - Up to 5% matched pension - Phantom equity – share in Graphcore’s success - True flexibility in how and where you work - Office spaces designed for collaboration - Free food and an on-site barista - Health cash plan - Income protection - Life assurance - Along with other benefits you can choose from (private medical insurance, dental plan etc) Company Description 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 shape how complex ML software is tested, trusted and improved, we’d love to hear from you. Apply now to be part of the journey.

Role Description Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. - Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. - You will help teams understand what is working, what is breaking and why. - You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour, including: - Numerical precision - Quantisation - Attention mechanisms - Distributed execution - Model subgraphs - This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure. Qualifications - Strong experience in Machine Learning or ML-adjacent software engineering roles. - A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs. - Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools. - Strong Python skills for automation, experimentation, benchmarking and reporting. - Experience designing, running and analysing ML benchmarks or model experiments. - Confident debugging skills in Linux, with curiosity about model behaviour and system performance. Benefits - Unlimited annual leave - Up to 5% matched pension - Phantom equity – share in Graphcore’s success - True flexibility in how and where you work - Office spaces designed for collaboration - Free food and an on-site barista - Health cash plan - Income protection - Life assurance - Along with other benefits you can choose from (private medical insurance, dental plan etc)

Role Description Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. - Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. - You will help teams understand what is working, what is breaking and why. - You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour, including: - Numerical precision - Quantisation - Attention mechanisms - Distributed execution - Model subgraphs - This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure. Qualifications - Strong experience in Machine Learning or ML-adjacent software engineering roles. - A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs. - Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools. - Strong Python skills for automation, experimentation, benchmarking and reporting. - Experience designing, running and analysing ML benchmarks or model experiments. - Confident debugging skills in Linux, with curiosity about model behaviour and system performance. Benefits - Unlimited annual leave - Up to 5% matched pension - Phantom equity – share in Graphcore’s success - True flexibility in how and where you work - Office spaces designed for collaboration - Free food and an on-site barista - Health cash plan - Income protection - Life assurance - Along with other benefits you can choose from (private medical insurance, dental plan etc)

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Senior Manufacturing Product Engineer, you will be working closely with the Graphcore Design and Test Engineering teams, Quality and Supply Chain Management in support of NPI development and volume production. You will work closely with the relevant Contract Manufacturer (CM) to provide day to day manufacturing support as well as continuous improvements in manufacturing capabilities, quality and yield. A key focus for this role will be to develop and improve data-driven decision making methodology using lean six sigma and similar techniques within Graphcore and our suppliers. The Team The role will be as part of the Manufacturing and Technology Process team at Graphcore. This team is part of the Operations group and has members in Bristol, Cambridge and Taiwan. The team is responsible for developing and maintaining robust manufacturing processes at the wafer foundry, package assembly and PCBA subcontractors based in Taiwan. Key Responsibilities and Duties - Develop a deep technical understanding of the CM capabilities and ensure alignment with hardware design - Support the technical interface between internal engineering teams and the CM during NPI and mass production - Drive continuous improvement in PCB assembly process capability, yield, throughput, and quality at CM sites, working with Graphcore and supplier quality teams - Work with supplier engineering to apply Lean Six Sigma tools and statistical methods to reduce defects, variation, scrap, and rework. - Champion best practices in manufacturing data collection and management, traceability, analysis and reporting - Use manufacturing data analytics to identify process trends, systemic issues, and opportunities for automation or optimization. - Lead structured problem-solving activities using methodologies such as: DMAIC, 8D, fishbone analysis, FMEA and Design of Experiments - This position will require travel in Taiwan and global travel to Graphcore sites or to other suppliers. Essential Skills - Strong working knowledge and experience of L6 (PCB assembly) processes, equipment, materials and inspection - Experience in introducing and sustaining complex products in an SMT environment - Understanding of root cause analysis of manufacturing faults and their resolution - Understanding of manufacturing execution and engineering data collection systems - Have a data driven approach to decision making; experienced in industry standard statistical analysis tools (e.g. JMP, SQL, python) and data visualisation techniques - Lean Six Sigma Green/Black Belt and demonstrable experience implementing these methodologies in a production environment - Ability to work on own initiative as well as in cross functional and cross regional teams by employing strong interpersonal skills - Fluent in Mandarin with strong working proficiency in spoken and written English - Degree or equivalent in Electronic Engineering, Mechanical Engineering, Manufacturing, or related discipline Desirable - Ability to understand the interaction between silicon, package and PCB in order to provide DfMA feedback to design teams - Strong fault diagnosis, problem solving and failure analysis skills, eg ICT to SMT debug - Knowledge of L10 mechanical design and system build for HPC/AI data centre compute products 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.

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. The availability of specialised artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do, really makes a difference. We are looking for a Supply Chain Manager who will report to the Supply Chain Director and hold accountability for the complete supply chain operations related to our contracted manufacturing partners. The Team The role will be as part of the Supply Chain team at Graphcore. This team is part of the Operations group and has members in Bristol and Taiwan. The team is responsible for developing and managing a robust manufacturing subcontract supply chain for Graphcore. Responsibilities and Duties - Drive demand forecasting, production planning, and material requirements for PCBA, systems, and racks through collaboration with cross-functional teams. - Plan, schedule, and monitor production activities to ensure supplier adherence to established production schedules and delivery commitments. - Analyse demand backlogs, WIPs movement and material readiness, identifying and resolving supply and demand imbalances, ensuring timely finished goods delivery. - Perform scenario analysis to evaluate the impact of production capacity, material availability, demand fluctuations, and cost factors. - Prepare and disseminate periodic reports (e.g., WIPs, material readiness and finished goods for the management team, accompanied by insightful analysis and proposed resolutions. - Develop KPI metrics and generate reports to monitor and evaluate supply chain performance and critical metrics. Candidate Profile Essential: - Over 5 years in supply chain management field, preferably within the high-tech industry - Knowledge of supply chain planning, demand forecasting, and inventory management with a significant focus on OEM/ODM business. - Strong analytical and problem-solving skills, with the ability to interpret data and make informed decisions. - Proficiency in Excel (including VBA), data modelling, automation, ERP systems, and data visualization tools such as Power BI, Tableau, or Superset. - Fluency in English and Chinese is highly preferred due to the location and potential interaction with local suppliers and OEM partners - Strong communication and reporting skills BenefitsIn 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.

About GraphcoreAt Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Shock, Vibration, & Transportation Engineer to ensure the reliability of AI hardware systems, including components, servers, and rack-level products. This role focuses on transportation validation, mechanical reliability, and packaging performance under real-world conditions. The engineer will be responsible for executing ISTA-based testing, analyzing failures, and providing practical debug solutions to improve product robustness and shipment readiness. You will work closely with cross-functional teams to ensure products can safely withstand global logistics environments while meeting performance and cost targets. Key Responsibilities and Skills - Plan and execute shock, vibration, and transportation tests for AI components, servers, and rack systems - Develop test plans based on ISTA and ASTM standards and real-world logistics conditions - Perform testing including: - Random vibration, sine sweep, and mechanical shock - Packaged vibration, drop, and incline impact - Lead packaging validation and shipment strategy: - Evaluate protection performance vs cost - Define assembly vs disassembly approach for shipment - Conduct mechanical inspection and liquid cooling validation: - Identify structural damage and leakage risks - Execute functional validation during/after testing (system stress program) - Perform failure analysis and root cause investigation - Provide debug solutions and design/packaging improvements - Analyze test data (PSD, resonance) and generate reports - Collaborate with cross-functional teams and ODM partners Qualifications Required - Bachelor’s degree in mechanical, Electrical, or related field - Experience in shock, vibration, or transportation testing - Familiar with ISTA standards and vibration/shock fundamentals (PSD, Grms) - Knowledge of mechanical failure mechanisms (PCB, solder, connectors) - Strong debug and root cause analysis skills Preferred - Experience with AI servers or data center hardware - Knowledge of liquid cooling systems - Familiar with ASTM / JEDEC / IEC standards - Experience in packaging design and rack-level shipment - Familiar with failure analysis tools (X-ray, cross-section, etc.) 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.

About GraphcoreAt Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Responsible for system-level reliability of AI servers with liquid cooling and HVDC architectures, owning reliability validation, shock & vibration robustness, and failure analysis from board to rack level to ensure safe transport, deployment, and long-term datacenter operation. Key Responsibilities and skills - Plan and execute reliability validation across board, server, and rack levels. - Define and run environmental, accelerated, and mechanical tests, including thermal/power cycling, humidity, corrosion, shock & vibration, and HALT/HASS. - Lead shock & vibration validation for transportation, handling, seismic, and operational conditions. - Assess reliability risks for liquid cooling systems (leakage, fatigue, pump life, corrosion, coolant stability). - Evaluate HVDC mechanical and electrical robustness (busbars, connectors, power interfaces). - Perform reliability prediction and life data analysis (Weibull, MTBF). - Lead cross-functional design reviews and drive risk mitigation. - Conduct failure analysis and RCA using standard FA methodologies. - Define and maintain reliability and S&V test specifications (JEDEC, Telcordia GR-63, JESD22, MIL-STD-810, ISTA, ASHRAE, UL, IEC). - Implement On-going Reliability Test (ORT) for production quality. - Document results and support customer audits and certifications. Qualifications - Bachelor’s or Master’s degree in Mechanical, Electrical, Reliability, Materials, or related Engineering. - 10+ years of reliability engineering experience in AI servers, datacenter systems, HPC, or complex electronics. - Hands-on experience with environmental, shock, and vibration testing. - Strong knowledge of reliability methodologies and statistical analysis. - Practical experience with liquid cooling and HVDC systems. - Proven failure analysis and RCA capability. - Strong communication skills in English; Mandarin a plus. Preferred Experience - AI server architecture and large-scale liquid cooling systems. - FEA/modal analysis and test correlation. - Datacenter, telecom, and transportation standards knowledge. - Reliability certification (e.g., ASQ CRE). 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.