--- title: 'Staff Cloud Software Engineer at Graphcore' canonical: 'https://feeny.ai/job/staff-cloud-software-engineer-graphcore-gdansk-pomeranian-voivodeship-nezejhrxd17a' type: 'job' last_seen: '2026-10-20' --- # Staff Cloud Software Engineer at Graphcore - **Company:** Graphcore - **Location:** Gdańsk Pomeranian Voivodeship, Poland - **Posted:** 2026-06-24 - **Last confirmed live:** 2026-10-20 - **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8605255002 ## Job description Salary Range: PLN 350,700- 474,400 Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Candidates must be local due to hybrid working policy ## About the job Make AI accelerator hardware feel native inside Kubernetes clusters. As a Staff Cloud Software Engineer, you will build Go services that connect accelerator hardware with Kubernetes. You will own software components that turn complex compute capability into a usable platform experience. Your work will shape how AI workloads discover, access and scale across cluster infrastructure. That means designing production services where reliability, performance and observability are part of the architecture. You will build CRDs, operators and Kubernetes components for ML and platform teams. You will partner with hardware, cloud and ML engineers on design choices and roadmap priorities. This is a senior IC role with room to set direction. You will mentor engineers, raise code quality and help define how Graphcore delivers cloud-native AI compute. The team and culture The Workload Management team sits between Kubernetes, cloud platforms and accelerator hardware. Work moves from architecture to implementation, review and production readiness without losing system context. You will be trusted to own technical areas, challenge assumptions and move important work forward. The pace is driven by clear priorities, fast feedback and strong engineering judgement. Decisions are made through evidence, prototypes and direct technical discussion. Engineers are expected to speak up early, share trade-offs and help the team learn quickly. ## What we’re looking for - Strong Go engineering experience, with significant experience delivering complex production software - Deep Kubernetes architecture knowledge, including CRDs, operators and cloud-native integration patterns - Solid Linux understanding, with the ability to debug issues across distributed systems - Experience leading technical initiatives and mentoring engineers through design, review and delivery - Ability to improve code quality, observability, automation and developer experience - Clear C1-level English communication, with confidence working across hardware, cloud and ML teams ## Benefits - Flexible working: Balance your work and personal life with greater flexibility - Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family - Phantom equity: Share in Graphcore’s success - Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres - Financial protection: Death and disability insurance, providing financial security for you and your loved ones - Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions - Employee Assistance Programme (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 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 Poland. 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. Ready to make Kubernetes the natural home for new AI accelerator hardware? Apply now to join 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 - [Graduate Software Engineer, Analysis Tools 2027](https://feeny.ai/job/graduate-software-engineer-analysis-tools-2027-graphcore-bristol-292x32fnjs7j) — Bristol, United Kingdom - [Software Engineer Summer Intern, AI Compute Libraries & Performance 2027](https://feeny.ai/job/software-engineer-summer-intern-ai-compute-libraries-performance-2027-graphcore-58c3xgmqptpe) — Bristol, United Kingdom - [Graduate Software Engineer, AI Compute Libraries & Performance 2027](https://feeny.ai/job/graduate-software-engineer-ai-compute-libraries-performance-2027-graphcore-ayaqvcgp31y0) — Bristol, United Kingdom - [Graduate Software Engineer, Accelerator Modelling 2027](https://feeny.ai/job/graduate-software-engineer-accelerator-modelling-2027-graphcore-bristol-k7zp873jmzbg) — Bristol, United Kingdom - [UX Design Summer Intern 2027](https://feeny.ai/job/ux-design-summer-intern-2027-graphcore-bristol-tpct7pj4mdym) — Bristol, United Kingdom - [Graduate Software Engineer, AI/ ML Test Systems 2027](https://feeny.ai/job/graduate-software-engineer-ai-ml-test-systems-2027-graphcore-bristol-ajwhd21t6t38) — Bristol, United Kingdom - [Graduate Software Engineer, DevOps 2027](https://feeny.ai/job/graduate-software-engineer-devops-2027-graphcore-bristol-xegze23as6bp) — Bristol, United Kingdom - [Graduate Software Engineer, Frameworks 2027](https://feeny.ai/job/graduate-software-engineer-frameworks-2027-graphcore-bristol-nw1f5hcy0qxa) — Bristol, United Kingdom - [Graduate Infrastructure Solutions Engineer 2027](https://feeny.ai/job/graduate-infrastructure-solutions-engineer-2027-graphcore-bristol-4s9pdgzd7qxp) — Bristol, United Kingdom - [Graduate Software Engineer, System Software QA 2027](https://feeny.ai/job/graduate-software-engineer-system-software-qa-2027-graphcore-bristol-yp6x4f33hg73) — Bristol, United Kingdom / Cambridge, MA