--- title: 'Graduate Mechanical Engineer at Graphcore' canonical: 'https://feeny.ai/job/graduate-mechanical-engineer-graphcore-austin-3tg0gg9dzjgy' type: 'job' last_seen: '2026-10-13' --- # Graduate Mechanical Engineer at Graphcore - **Company:** Graphcore - **Location:** Austin, TX - **Posted:** 2026-09-24 - **Last confirmed live:** 2026-10-13 - **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8842000002 ## Job description ## About the job Start your engineering career by turning AI hardware designs into real systems you can test, improve and see perform. As a Graduate Mechanical Engineer in our Mech/Thermal Platform team, you will help design, test and improve advanced AI hardware and data center systems. This role is built for someone early in their engineering career. You will work across 3D CAD, prototype evaluation, lab testing, data analysis, troubleshooting and documentation. Your work will help turn engineering ideas into reliable hardware platforms. You will learn from experienced mechanical, thermal, hardware and systems engineers while owning defined design and validation tasks. You will build practical judgement by seeing how decisions perform in the lab. This is a rare chance to start your career close to the hardware challenges powering AI adoption. The team and culture You will join the Mech/Thermal Platform team in Austin, working closely with engineers across mechanical, thermal, electrical, hardware, systems and manufacturing disciplines. Work moves from requirements and concepts into design reviews, prototype builds, lab validation and verified improvements. You will be trusted with clear ownership, supported by engineers who explain context and expect thoughtful questions. Decisions are made through evidence, test data, design review and clear technical recommendations. The team values engineers who think big, act fast, take responsibility and speak up. You will be encouraged to build confidence, learn unfamiliar tools and contribute from the start. ## What we’re looking for - A bachelor's or master's degree in mechanical engineering or a closely related field, completed recently or before the role begins - Strong fundamentals in mechanical design, heat transfer, thermodynamics, materials, manufacturing or related engineering principles - Experience creating parts, assemblies or engineering drawings using 3D CAD through coursework, research, internships or projects - Ability to plan technical work, analyze test data, document results accurately and draw evidence-based conclusions - A structured approach to troubleshooting, root-cause analysis and engineering investigation - Clear communication, curiosity and willingness to learn new tools, systems and laboratory methods While we have outlined a set of requirements, we value transferable skills and diverse experiences. ## Benefits - Flexible working: Balance your work and personal life with greater flexibility - Comprehensive healthcare: Medical, dental and vision coverage to help keep you and your family healthy - Phantom equity: Share in Graphcore’s success - Tax-advantaged healthcare savings: Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs) to help you make the most of your healthcare spending - Peace of mind protection: Disability and life insurance to provide financial security when you need it most - Retirement planning support: A 401(k) plan to help you invest in your future - Commuter benefits: Help cover the cost of your daily commute - Wellbeing resources: Access to wellness services that support your physical and mental health - Employee Assistance Program (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters 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 recognize that everyone brings different strengths and perspectives. If you need any accommodations during the interview process, just let us know - we're happy to support you. 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 start your engineering career close to the hardware challenges shaping AI, we’d love to hear from you. Apply now to be part of the journey. ## 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 - [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