--- title: 'Engineering Change Analyst at Graphcore' canonical: 'https://feeny.ai/job/engineering-change-analyst-graphcore-bristol-khje9h7swm80' type: 'job' last_seen: '2026-09-08' --- # Engineering Change Analyst at Graphcore - **Company:** Graphcore - **Location:** Bristol, United Kingdom - **Posted:** 2026-08-27 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8755363002 ## Job description ## About the job Turn complex engineering changes into controlled, traceable actions that keep advanced AI hardware moving forward. As an Engineering Change Analyst, you’ll coordinate product and manufacturing changes across complex hardware. You’ll bring structure and momentum to every change. You’ll help ensure changes are complete, reviewed and implemented correctly. Your work will improve visibility and maintain accurate product records. You’ll coordinate ECRs, ECOs and Deviations throughout their lifecycle. You’ll also support impact assessments, change reviews and clear communication across teams. This role puts you at the centre of engineering, manufacturing, quality and supply chain. You’ll see how decisions become controlled product changes. The team and culture You’ll join Configuration Management within Manufacturing Operations. The team owns product configuration, engineering change control, product data governance and PLM processes. Day to day, you’ll work across technical teams and manufacturing partners. You’ll track actions, surface blockers and keep changes progressing. Good decisions depend on accurate information and clear ownership. You’ll help teams understand impacts, document decisions and resolve issues before changes move forward. ## What we’re looking for Essential - Experience in engineering change control, product lifecycle management, or manufacturing operations. - Experience using PLM, ERP, or engineering data management systems, with a solid understanding of bills of materials (BOMs), part numbering, revision control, and engineering documentation. - Strong organisational skills and attention to detail, with the ability to coordinate multiple changes, track actions to completion, and escalate issues appropriately. - Strong written and verbal communication skills, with the confidence to collaborate across Engineering, Manufacturing, Quality, and Supply Chain teams. Desirable - Experience in electronics, semiconductors, computing, or complex hardware product development, including contract manufacturing or global production environments. - Practical experience with controlled change processes, such as Engineering Change Requests (ECRs), Engineering Change Orders (ECOs), Engineering Change Notices (ECNs), or deviations. - Experience using Arena PLM and supporting or coordinating Change Review Boards or Change Control Boards. - A relevant degree, HNC/HND, or equivalent industry experience. ## 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) Inclusion statement 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. Join the Team at Graphcore Graphcore is building the compute platform for the next generation of artificial intelligence. From advanced silicon to intelligent software, our technology is designed to unlock breakthroughs in AI and bring its benefits to every industry. As part of the SoftBank Group, we’re backed by one of the world’s most ambitious technology investors, working alongside companies shaping the future of AI. Together, we share a bold goal: to help enable artificial superintelligence and ensure it delivers meaningful impact at a global scale. At Graphcore, you’ll work with people who are pushing the boundaries of what’s possible. Our teams bring together AI researchers, chip designers, software engineers and systems experts from a wide range of backgrounds. It’s an environment where we take on big challenges with curiosity and focus, move quickly and decisively, take real ownership of our work, and speak up to challenge ideas—stepping up to support each other and lead through action. Want to turn complex engineering changes into clear, controlled progress? Apply now and help keep Graphcore’s products moving forward. ## 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. 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