--- title: 'Cloud Platform Summer Intern 2027 at Graphcore' canonical: 'https://feeny.ai/job/cloud-platform-summer-intern-2027-graphcore-bristol-24dd7j53zp5k' type: 'job' last_seen: '2026-11-10' --- # Cloud Platform Summer Intern 2027 at Graphcore - **Company:** Graphcore - **Location:** Bristol, United Kingdom - **Posted:** 2026-10-20 - **Last confirmed live:** 2026-11-10 - **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8894965002 ## Job description Location: Bristol, UK Duration: 12 weeks Salary: £2500 per month Start date: June 2027 Application deadline: Midnight 29th November We encourage you to apply early, as we may close applications before the advertised deadline. The Internship Programme at Graphcore Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice and help shape what we’re creating. Along the way, you’ll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. ## What you’ll be doing Put your Linux and scripting foundations to work exploring the cloud platforms that support Graphcore’s AI systems. As a Cloud Platform Engineering Intern, you’ll help deploy, test and monitor services across private and public cloud environments. You’ll contribute through clearly scoped tasks, with guidance from experienced engineers as you build confidence. Your tasks could include writing or improving scripts, reviewing metrics and logs, investigating issues and documenting what you learn. You’ll see how automation and monitoring help the team manage high-performance AI infrastructure and how continuous integration and delivery (CI/CD) and Infrastructure-as-Code are used in real systems. ## Your team and support The Cloud Platform team provides large-scale AI systems through private and public cloud services. Its work brings together Graphcore AI systems, industry-standard servers, switches and storage. Some environments use pre-release hardware and software, giving you a view of how new technology becomes usable. You’ll work alongside experienced engineers through sprint activities, technical reviews, project demonstrations and practical investigations. You can ask for help as you learn, share your progress and use feedback to improve your work on defined tasks. Decisions are shaped by evidence, engineering judgement and open discussion. As an intern, you’ll be encouraged to ask questions early, share what you find and try out ideas, with support from experienced engineers as you learn. ## How you’ll learn and grow Over the 12 weeks, you’ll build practical experience with Linux systems, scripting, automation and monitoring through the work your tasks focus on. Investigating issues with logs and metrics will help you develop a methodical approach to problem solving and understand how cloud services fit together. Technical reviews and project demonstrations will help you explain your findings, learn from feedback and explore whether platform engineering is a direction you’d like to pursue. Your internship is a chance to explore a future at Graphcore. Depending on your performance and the roles available, there may be an opportunity to join one of our graduate programmes once you’ve graduated. ## What we’re looking for - Currently studying towards a degree in Computer Science, Software Engineering, IT, Electronic Engineering or a related subject - Basic Linux and command-line experience, gained through study, projects or independent learning - Some scripting or programming experience, such as Python, Bash or a similar language - A methodical approach to investigating technical issues, with clear communication, curiosity and willingness to learn from feedback and take responsibility for defined tasks Bring an interest in cloud infrastructure, platform engineering, networking, CI/CD, monitoring or computer systems. Previous industry experience is not required. Tell us what you built or investigated through coursework, personal or team projects, independent learning or other relevant experience, how you approached it and what you learned. ## Benefits - Flexible working: Find a balance between your internship and life outside work - 5 days of annual leave: Take time to rest and recharge during your 12-week internship - Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista - Learning and development: Build your skills and explore your interests with access to O’Reilly, our online learning platform 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 already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.. Introduction to Graphcore At Graphcore, we’re building next generation AI compute: From semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. An internship at Graphcore gives you the chance to explore where your interests and skills could take you. You’ll work alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. Together, you’ll share ideas and solve challenging problems, building experience and confidence to help you decide what comes next. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Curious about where your skills could take you? Apply for a summer internship at Graphcore and help us build what comes next. ## 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 - [Technology Owner](https://feeny.ai/job/technology-owner-graphcore-bristol-n7932aqtncqw) — Bristol, United Kingdom - [Staff Engineering Program Coordination Support](https://feeny.ai/job/staff-engineering-program-coordination-support-graphcore-milpitas-6brm2n8e5s7y) — Milpitas, CA - [Corporate Travel Coordinator](https://feeny.ai/job/corporate-travel-coordinator-graphcore-bristol-3d3ffcpseesb) — Bristol, United Kingdom - [Lab Technician](https://feeny.ai/job/lab-technician-graphcore-bristol-1qse0fjvvph3) — Bristol, United Kingdom - [Programme Manager](https://feeny.ai/job/programme-manager-graphcore-bristol-vzkcxrjsjam9) — Bristol, United Kingdom - [Senior Network Operations Engineer](https://feeny.ai/job/senior-network-operations-engineer-graphcore-bristol-e40gft647ps9) — Bristol, United Kingdom - [Validation Chief of Staff](https://feeny.ai/job/validation-chief-of-staff-graphcore-austin-rmxtbeb85sjq) — Austin, TX - [Senior System Tests & Diagnostics Engineer](https://feeny.ai/job/senior-system-tests-diagnostics-engineer-graphcore-austin-2jtewzvghbe4) — Austin, TX - [Principal System Tests & Diagnostics Engineer](https://feeny.ai/job/principal-system-tests-diagnostics-engineer-graphcore-austin-by73g50t5bt3) — Austin, TX - [Staff Hardware Engineer](https://feeny.ai/job/staff-hardware-engineer-graphcore-austin-aznbnbmq9sx6) — Austin, TX