--- title: 'Staff Manufacturing Product Engineer at Graphcore' canonical: 'https://feeny.ai/job/staff-manufacturing-product-engineer-graphcore-bristol-ea1bm22k33gw' type: 'job' last_seen: '2026-10-13' --- # Staff Manufacturing Product Engineer at Graphcore - **Company:** Graphcore - **Location:** Bristol, United Kingdom - **Posted:** 2026-10-13 - **Last confirmed live:** 2026-10-13 - **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8885090002 ## Job description ## About the job Shape how Graphcore products move from hardware design into reliable volume manufacturing. As Staff Manufacturing Product Engineer, you will take a leading role in supporting NPI development and volume production across complex hardware products. You will connect design, test, quality and supply chain decisions with real manufacturing outcomes. Your work will help ensure products are manufacturable, resilient and ready for supplier capability. You will provide DfM feedback that improves PCB and system design before issues reach production. You will work closely with contract manufacturers, especially during NPI and early volume manufacture. You will drive yield improvement, analyse production data and resolve L6 manufacturing issues. This role suits someone who enjoys practical engineering ownership across design and production. You will travel to Taiwan and work close to suppliers shaping next generation manufacturing technologies. The team and culture You will join the Manufacturing and Technology Process team within Operations. The team works across Bristol, Cambridge and Taiwan, close to foundry, package assembly and PCBA partners. Work happens through clear ownership, supplier engagement and fast feedback into design teams. You will speak up early when manufacturability, yield or capability needs attention. The team values evidence, responsibility and strong cross-regional relationships. Decisions are made through engineering judgement, data and direct accountability for manufacturing performance. ## What we're looking for - Strong fault diagnosis, problem solving and failure analysis skills, including ICT to SMT debug - Thorough understanding of Automated surface mount assembly processes and manufacturing methodologies - Working knowledge of L10 mechanical design and system build, ideally for HPC products - Ability to connect silicon, package and PCB interactions into clear DfM feedback - Experienced in statistical analysis tools (e.g JMP, SQL, Python) - Experience using continuous improvement methods, including SPC and DOE - Strong interpersonal skills for supplier-facing, cross-functional and cross-regional engineering work - Extensive experience in a similar manufacturing facing role While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. ## Benefits - Flexible working: Balance your work and personal life with greater flexibility - Generous leave: Take time to rest, recharge and enjoy life outside of work - Retirement planning support: Up to 5% matched pension - Phantom equity: Share in Graphcore’s success - Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day - Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones - Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover - Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn 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 the UK. 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 turn hardware design into stronger manufacturing performance, we’d love to hear from you. Apply now to help shape how Graphcore products are built. ## 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 - [Senior Manufacturing Product Engineer](https://feeny.ai/job/senior-manufacturing-product-engineer-graphcore-tainan-d577fdezv8tm) — 臺南市 Tainan, Taiwan - [Technical Product Owner](https://feeny.ai/job/technical-product-owner-graphcore-bristol-9v35a207cdk8) — Bristol, United Kingdom - [Senior Machine Learning Engineer (Large Systems)](https://feeny.ai/job/senior-machine-learning-engineer-large-systems-graphcore-cambridge-3e8ndgscz15d) — Cambridge, MA - [Senior Machine Learning Engineer (Large Systems)](https://feeny.ai/job/senior-machine-learning-engineer-large-systems-graphcore-london-p68byjrjd25g) — London, United Kingdom - [Senior Machine Learning Engineer (Large Systems)](https://feeny.ai/job/senior-machine-learning-engineer-large-systems-graphcore-bristol-s0r6v5tfnmv9) — Bristol, United Kingdom - [Staff AI Performance Engineer](https://feeny.ai/job/staff-ai-performance-engineer-graphcore-milpitas-fsnhys3s671g) — Milpitas, CA - [Principal AI Performance Engineer](https://feeny.ai/job/principal-ai-performance-engineer-graphcore-austin-nkrwx6t7hyy0) — Austin, TX - [Senior AI Performance Engineer](https://feeny.ai/job/senior-ai-performance-engineer-graphcore-austin-st5fb702pk3z) — Austin, TX - [Principal System Tests & Diagnostics Engineer](https://feeny.ai/job/principal-system-tests-diagnostics-engineer-graphcore-austin-9y5qhh1chbx8) — Austin, TX - [Supply Quality Engineer](https://feeny.ai/job/supply-quality-engineer-graphcore-austin-vqp0q1nbfqry) — Austin, TX