--- title: 'Senior Manufacturing Product Engineer at Graphcore' canonical: 'https://feeny.ai/job/senior-manufacturing-product-engineer-graphcore-tainan-d577fdezv8tm' type: 'job' last_seen: '2026-10-13' --- # Senior Manufacturing Product Engineer at Graphcore - **Company:** Graphcore - **Location:** 臺南市 Tainan, Taiwan - **Posted:** 2026-10-13 - **Last confirmed live:** 2026-10-13 - **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8884722002 ## Job description ## About the job Own the manufacturing performance behind advanced AI compute systems in volume production. As, Senior Manufacturing Product Engineer you will connect product design, test, quality and supply chain with manufacturing execution. You will support volume production across PCB assembly with our build partners in Taiwan. Your work will improve yield, quality and manufacturability across complex products. You will link manufacturing process performance to the product metrics that matter most. You will manage partner engineering relationships, resolve manufacturing issues and drive continuous improvement. You will also shape DfM feedback, production data requirements and next generation manufacturing technologies. This role suits someone who combines practical manufacturing judgement with strong data thinking. You will work close to suppliers, product teams and the decisions that shape production outcomes. 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 wafer foundry, package assembly and PCBA subcontractors. Work happens through direct ownership at partner sites and clear technical engagement with internal teams. You will move quickly on production issues, using data and engineering judgement to guide action. The team values people who speak up, take responsibility and build strong supplier relationships. Decisions are grounded in evidence, product impact and the need to keep manufacturing improving. ## What we're looking for - Strong fault diagnosis, problem solving and failure analysis skills, including ICT to SMT debug - Thorough understanding of automated SMT assembly processes and lean manufacturing methodologies - Working knowledge of L10 mechanical design and system build, ideally for HPC products - Experienced in statistical analysis tools (e.g JMP, SQL, Python) - Ability to connect silicon, package and PCB interactions into clear DfM feedback - Experience using Six Sigma continuous improvement methods, including SPC and DOE - Fluent in Mandarin and strong English communication skills for cross-functional, cross-regional and supplier-facing work. 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 annual leave: Take time to rest, recharge and enjoy life outside of work - Enhanced healthcare coverage: Private medical insurance alongside Taiwan's National Health Insurance scheme for added peace of mind - Phantom equity: Share in Graphcore’s success - Family healthcare options: The opportunity to extend healthcare coverage to your family members - Financial protection: Life and critical illness insurance to help safeguard you and your loved ones. - Proactive wellbeing support: An annual health assessment allowance to help you stay on top of your health - Eye care reimbursement: Support towards the cost of maintaining your vision and eye health 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 Taiwan. 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 improve how advanced AI products move through manufacturing, we’d love to hear from you. Apply now to help shape production performance at Graphcore. ## 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 - [Staff Manufacturing Product Engineer](https://feeny.ai/job/staff-manufacturing-product-engineer-graphcore-bristol-ea1bm22k33gw) — Bristol, United Kingdom - [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