--- title: 'Infrastructure and MLOps Engineer at Graphcore' canonical: 'https://feeny.ai/job/infrastructure-and-mlops-engineer-graphcore-bristol-v2hnx7ynxebt' type: 'job' last_seen: '2026-09-08' --- # Infrastructure and MLOps Engineer at Graphcore - **Company:** Graphcore - **Location:** Bristol, United Kingdom - **Posted:** 2026-05-19 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8556044002 ## Job description ## About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. ## Responsibilities and Duties - Develop, own, and maintain tools and services to support AI research and engineering teams - Deploy and maintain services with Kubernetes and Docker - Manage our Cloud Infrastructure using tools such as Terraform Candidate Profile Essential: - Knowledge of Python - Familiarity with cloud services (e.g. AWS) - Experience managing or developing in Linux environments - Understanding of CI/CD principles - Experience using Kubernetes (k8s) - Experience of one of the following: - maintaining machine learning applications. - deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot). - managing ML accelerator hardware (e.g. DCGM). Desirable - Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) - Experience with GitHub Actions - Experience with modern observability tooling (e.g. Prometheus) - Experience with Grafana - Knowledge of Go/Java/C++ (or similar language) ## Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. ## 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 - [Technical Programme Manager](https://feeny.ai/job/technical-programme-manager-graphcore-bristol-tnv81pjcg71q) — Bristol, United Kingdom - [Technology Owner](https://feeny.ai/job/technology-owner-graphcore-bristol-d8detpv2a2gt) — Bristol, United Kingdom - [Staff Silicon Physical Design Engineer - Bengaluru](https://feeny.ai/job/staff-silicon-physical-design-engineer-bengaluru-graphcore-bengaluru-5zwkhyr3ps27) — Bengaluru, India - [Staff Robotics Engineer](https://feeny.ai/job/staff-robotics-engineer-graphcore-austin-texas-48zjd6k5bqkd) — Austin Texas, United States - [Staff Engineering Program Support](https://feeny.ai/job/staff-engineering-program-support-graphcore-milpitas-california-hrx7htcx8rkq) — Milpitas California, United States - [Senior Engineering Program Coordinator](https://feeny.ai/job/senior-engineering-program-coordinator-graphcore-milpitas-california-k5rv0zfbxp3p) — Milpitas California, United States - [Staff Engineering Operations Technical Program Manager](https://feeny.ai/job/staff-engineering-operations-technical-program-manager-graphcore-austin-texas-ffy430feqmnr) — Austin Texas, United States - [Principal Network Program Manager, AI Infrastructure](https://feeny.ai/job/principal-network-program-manager-ai-infrastructure-graphcore-milpitas-ta509snr3rw9) — Milpitas California, United States - [Principal Engineering Program Manager](https://feeny.ai/job/principal-engineering-program-manager-graphcore-austin-texas-m5g623168tsj) — Austin Texas, United States - [Staff Hardware Engineer](https://feeny.ai/job/staff-hardware-engineer-graphcore-austin-texas-tf5ew0k0z9g8) — Austin Texas, United States