--- title: 'AI SoC Validation / Bring-up Lead at Graphcore' canonical: 'https://feeny.ai/job/ai-soc-validation-bring-up-lead-graphcore-bristol-hxknqjs2eddr' type: 'job' last_seen: '2026-09-08' --- # AI SoC Validation / Bring-up Lead at Graphcore - **Company:** Graphcore - **Location:** Bristol, United Kingdom / Cambridge, MA - **Posted:** 2025-10-29 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8231827002 ## Job description ## 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 resolution Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable. - Promote collaboration and shared understanding Work closely with design, software, and validation teams to align on quality objectives and debug priorities. Use data-driven insights and clear communication to maintain focus and alignment across teams. - Advance automation and scalable validation Encourage the use of emulation, prototyping, and large-scale validation infrastructure to improve coverage and reduce time to debug. - Support continuous improvement Foster a culture that values learning, transparency, and improvement in validation methods, automation, and analysis. - Engage with leadership and customers Provide clear and concise updates on validation progress, risks, and quality indicators to executive teams and key partners. Contribute to product readiness assessments and roadmap decisions. About you: - A systems thinker comfortable working across hardware, software, and integration boundaries. - A collaborative leader who builds trust and alignment across diverse teams. - Skilled in technical problem solving and debugging complex post-silicon issues. - A clear communicator who can simplify complexity and support sound decision-making in fast-paced environments. - Committed to developing people and promoting an inclusive, high-performing team culture. Qualifications: - Bachelor’s degree in Electronic Engineering or equivalent; Master’s preferred. - 20+ years in silicon, system, or platform validation, including 10+ years in technical leadership. - Proven experience leading post-silicon validation and bring-up for complex SoCs (AI, GPU, or CPU). - Strong understanding of SoC architecture, coherency protocols, power management, and interconnects. - Expertise in debug tools, DFT infrastructure, and validation automation frameworks. - Proficient in C/C++, Python, and Linux-based environments; experience with large-scale validation clusters is an advantage. - Excellent communication, collaboration, and stakeholder management skills. ## 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 ## About Graphcore ## Company Overview - **One-liner**: Graphcore designs and builds the Intelligence Processing Unit (IPU), a processor purpose-built for machine intelligence, and provides a complete AI compute stack from silicon to software. - **Entity Type**: Private (wholly owned subsidiary of SoftBank Group Corp as of 2025/2026) - **Headquarters**: Bristol, England, UK - **Founded**: 2016 - **Founders**: Nigel Toon and Simon Knowles ## Core Business - **Primary industry**: AI hardware/accelerators, semiconductor design, AI software platform - **Target customers**: Cloud providers (Microsoft Azure), enterprises, AI researchers, hyperscalers - **Mission statement**: “Let innovators create the next breakthroughs in machine intelligence to enhance human potential” ## Products & Services - **[IPU (Intelligence Processing Unit)](https://www.graphcore.ai/)**: A processor designed from the ground up for machine intelligence workloads; uses a massively parallel architecture (MIMD) with fine-grained compute and on-chip memory. - **[IPU-Machine M2000](https://www.graphcore.ai/about)**: Second-generation IPU platform – a 1U server appliance housing 4 MK2 GC200 IPU processors, delivering an 8× performance uplift over the first generation. - **[C2 IPU Accelerator PCIe Card](https://www.graphcore.ai/about)**: PCIe form factor accelerator for server integration, first demonstrated at ICML 2018. - **[Poplar Software Stack](https://www.graphcore.ai/)**: Full SDK and framework integration (PyTorch, TensorFlow) that lets developers target the IPU directly. ## Market Standing - **Valuation/Market Cap**: Acquired by SoftBank Group Corp (amount undisclosed); prior to acquisition valued at $2.77 B (Series E, lead by Ontario Teachers’ Pension Plan Board). - **Key Metric**: Total funding raised prior to acquisition – over $680 M across Series A through E. - **Notable Investors/Partners**: SoftBank (owner), Microsoft (customer and investor), BMW, Samsung, Dell Technologies, Bosch, Sequoia Capital, Atomico, Fidelity, Baillie Gifford, Ontario Teachers’. - **Growth Signals**: Part of the fast-growing SoftBank AI ecosystem; expanding teams globally (Bristol, London, Cambridge, Gdańsk, Hsinchu, Bengaluru); first customer (Microsoft Azure) live since 2018. ## Competitive Advantages - **First purpose-built AI processor**: The IPU architecture is fundamentally different from GPUs – designed specifically for the sparse, parallel nature of neural network computation. - **Full stack ownership**: Graphcore controls silicon, system hardware, and software (Poplar), enabling tight optimisation across the entire compute chain. - **Cloud + on‑prem availability**: IPUs are available in the cloud on Microsoft Azure and as hardware from Dell, giving customers flexible deployment options. - **Strong IP and ecosystem**: 99+ engineering staff; deep expertise in semiconductor, systems, and AI software, backed by long-term SoftBank investment. ## Strategic Focus - **Scale AI infrastructure**: Delivering key technology into SoftBank’s global AI ecosystem and expanding the IPU platform to meet growing demand for AI compute. - **Expand into new regions**: Opening offices and hiring in India (Bengaluru) and across Europe (Gdańsk, London, Cambridge) to accelerate R&D and customer support. - **Democratise AI**: Continuing to lower the barrier for machine intelligence by providing accessible, high-efficiency hardware and software for innovators worldwide. ## Why Work Here - **Flexible hybrid work**: Employees are expected on-site three days a week, with trust and flexibility to balance work and life. - **Comprehensive benefits**: Unlimited annual leave, private medical insurance (UK), dental & health cash plan, income protection, life assurance, pension matched up to 5%, generous parental leave, and a personal development plan. - **Culture and growth**: ML reading groups, board game socials, book clubs, yoga, running, watersports, team events; strong DE+I initiatives; ambitious but supportive environment. - **Perks**: Free barista‑made coffee, snacks, and wellbeing rooms; cycle‑to‑work scheme; gym membership discount; education/training allowances. - **Purpose-driven work**: Opportunity to shape the future of AI compute and see your contributions used by global innovators. ## Sources 1. [graphcore.ai/about](https://www.graphcore.ai/about) 2. [graphcore.ai/](https://www.graphcore.ai/) 3. [graphcore.ai/careers](https://www.graphcore.ai/careers) 4. [graphcore.ai/jobs](https://www.graphcore.ai/jobs) 5. [builtin.com/company/graphcore](https://builtin.com/company/graphcore) ## Other roles at Graphcore - [Technical Programme Manager](https://feeny.ai/job/technical-programme-manager-graphcore-bristol-tnv81pjcg71q) — Bristol, United Kingdom - [Technology Owner](https://feeny.ai/job/technology-owner-graphcore-bristol-d8detpv2a2gt) — Bristol, United Kingdom - [Staff Silicon Physical Design Engineer - Bengaluru](https://feeny.ai/job/staff-silicon-physical-design-engineer-bengaluru-graphcore-bengaluru-5zwkhyr3ps27) — Bengaluru, India - [Staff Robotics Engineer](https://feeny.ai/job/staff-robotics-engineer-graphcore-austin-texas-48zjd6k5bqkd) — Austin Texas, United States - [Staff Engineering Program Support](https://feeny.ai/job/staff-engineering-program-support-graphcore-milpitas-california-hrx7htcx8rkq) — Milpitas California, United States - [Senior Engineering Program Coordinator](https://feeny.ai/job/senior-engineering-program-coordinator-graphcore-milpitas-california-k5rv0zfbxp3p) — Milpitas California, United States - [Staff Engineering Operations Technical Program Manager](https://feeny.ai/job/staff-engineering-operations-technical-program-manager-graphcore-austin-texas-ffy430feqmnr) — Austin Texas, United States - [Principal Network Program Manager, AI Infrastructure](https://feeny.ai/job/principal-network-program-manager-ai-infrastructure-graphcore-milpitas-ta509snr3rw9) — Milpitas California, United States - [Principal Engineering Program Manager](https://feeny.ai/job/principal-engineering-program-manager-graphcore-austin-texas-m5g623168tsj) — Austin Texas, United States - [Staff Hardware Engineer](https://feeny.ai/job/staff-hardware-engineer-graphcore-austin-texas-tf5ew0k0z9g8) — Austin Texas, United States