Lead Bring-up & Characterisation Engineer

About the job Keep Graphcore’s Bristol electronics laboratories ready for the teams building the future of AI compute. As Electronics Laboratory Lead, you will own the safe, reliable operation of our Bristol labs. You will make sure facilities, equipment and infrastructure support critical work across engineering and operations. Your impact will be felt across hardware bring up, validation, characterisation, manufacturing technology and product test. You will turn complex lab requirements into controlled, dependable environments where teams can move faster. You will manage test equipment, lab infrastructure, ESD controls, goods in and out, maintenance planning and technical readiness. You will also build and guide a technician team that supports multidisciplinary lab users. This is a hands-on leadership role with real ownership. You will shape how our labs run, scale and support Graphcore’s next stage. The team and culture You will sit in our DC Engineering Team, working closely with Facilities, Supply Chain, Quality, Product Test and Diagnosis, Infrastructure Solutions and Hardware Engineering. Work happens through clear priorities, practical decisions and direct collaboration with the teams using the labs. You will have the ownership to set standards, improve processes and solve problems before they slow delivery. Decisions are made close to the work, with safety, technical readiness and pace all held together. Graphcore teams think big, act fast and speak up. In this role, you will bring structure to complex lab activity while helping engineers do their best work What we’re looking for · Strong technical understanding of electronic test equipment, lab infrastructure, setup, calibration and troubleshooting · Practical knowledge of ESD prevention, control systems, audits and training · Deep understanding of health and safety requirements in electronics laboratory environments · Ability to work with engineering teams to plan, configure an

About us 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 Reporting to Senior Director of Post Silicon Validation, the Debug Validation Engineer will drive post-silicon debug and validation activities for next-generation AI compute silicon and systems. You will lead teams passionate about identifying, reproducing, analyzing, and resolving complex silicon, firmware, and system-level issues during bring-up, characterization, and product readiness. This role combines deep technical debugging expertise with strong cross-functional collaboration across multiple engineering fields. The Team The Post-Silicon Debug and Validation team manages bring-up, fault diagnosis, and validation of Graphcore silicon and systems. Our team participates throughout the entire product lifecycle, supporting initial silicon bring-up, subsystem validation, system integration, and production readiness tasks. We coordinate closely with hardware, firmware, software, and systems teams to examine complex failures, develop debug strategies, and advance validation infrastructure. Responsibilities and Duties Lead post-silicon debugging and validation efforts for AI compute silicon and platform technologies Contribute to debug and validation activities across multiple projects and achievements Analyze and address intricate sili

About 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. The Role: We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Responsibilities: Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resol

About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal

About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal

About the job Own the manufacturing excellence work that turns complex hardware into reliable, scalable production. As Manufacturing Operational Excellence Manager, you will improve quality, reliability and performance across Graphcore’s hardware lifecycle. You will connect manufacturing insight with engineering, quality and supply chain decisions. Your work will help products move from new product introduction into sustained production with stronger controls. You will use data to identify risks, understand failure mechanisms and drive measurable improvements. You will lead investigations, shape control plans and help teams act on manufacturing and reliability evidence. This role suits someone who can turn complex technical signals into clear action. The team and culture You will sit in the Quality team within Manufacturing Operations, working across silicon, board and system development. The team turns manufacturing and reliability insight into practical changes that improve products and processes. Work happens across boundaries, with manufacturing partners, engineering specialists and operations teams. You will bring structure, pace and evidence to complex decisions. This is an individual contributor role with real ownership. You will be expected to speak up, act quickly and lead through influence. What we're looking for · Strong technical grounding in manufacturing, quality or reliability engineering within semiconductor, advanced electronics or complex hardware environments. · Ability to apply structured problem-solving and data analysis to complex manufacturing or product quality issues. · Experience using statistical, process capability or reliability data to support engineering and operational decisions. · Understanding of new product introduction, production ramp and sustained volume manufacturing. · Confidence leading cross-functional investigations across manufacturing, engineering, quality and supply chain teams. · Ability to work with outsourced manufact