Senior Kubernetes Software Engineer (Go)

Reposted 15 Hours Ago
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Gdańsk, Województwo pomorskie, POL
Hybrid
304K-411K Annually
Expert/Leader
Artificial Intelligence • Semiconductor
Joining Graphcore gives you a seat at the top-table, shaping the future of Artificial Intelligence.
The Role
Develop production-grade Go services for Kubernetes integration of AI accelerator hardware, ensuring performance, reliability, and scalability of infrastructure.
Summary Generated by Built In

Salary Range: PLN 260,400 - 352,200

Subject to alignment to the responsibilities and duties of the role.


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.


About the Role

Graphcore is building the software that powers a new era of high-performance AI compute. As a Senior Kubernetes Software Engineer, you’ll develop Go services that integrate our accelerator hardware into Kubernetes clusters—making AI compute effortless, scalable, and K8s native.

This is a hands-on engineering role where you will own SW components and  work at the intersection of software, hardware and cloud platforms.

What You’ll Do
  • Develop production-grade Go services that expose our accelerator capabilities to end users.

  • Build CRDs, operators and other Kubernetes components to provide a seamless experience for ML and platform teams.

  • Ensure reliability, performance, and scalability of Kubernetes-based AI-compute infrastructure.

  • Partner with cross-functional teams (hardware, cloud, ML) on architecture, design, and feature roadmaps.

  • Drive improvements in code quality, observability, automation and developer experience.

You’re a Great Fit If You Have
  • Strong Go programming experience.

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience, with at least 10 years of software development experience. 

  • Deep knowledge of Kubernetes architecture. 

  • Solid Linux understanding and cloud-native mindset.

  • Ability to lead technical initiatives and mentor other engineers.

  • English- C1 level.

Bonus Skills
  • Familiarity with machine learning-related technologies within the Kubernetes ecosystem e.g. Kubeflow, Karmada, Kueue, KubeVirt, Kata containers, Volcano is highly desirable.

  • Knowledge of RDMA networks is considered an asset. 

  • Familiarity with other workload managers, such as Ray and SLURM, is considered an asset.

What We Offer
  • Work on technologies that push the boundaries of AI.

  • Opportunities to influence design decisions.

  • A high-impact role in a deeply technical, fast-moving environment.

  • Alongside a competitive salary, we offer a well-rounded benefits package designed to support your health, happiness and work–life balance. This includes generous annual leave, medical and dental plans, a gym card, and a pension scheme with up to 4% employer match. We regularly review our benefits to ensure they continue to meet the needs of our team.



Skills Required

  • Strong Go programming experience
  • Bachelor's degree in Computer Science or related field
  • At least 10 years of software development experience
  • Deep knowledge of Kubernetes architecture
  • Solid Linux understanding
  • Ability to lead technical initiatives
  • English - C1 level

What the Team is Saying

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Graphcore Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes medical and dental insurance, with US plans through Cigna and Kaiser, HDHP options with employer‑funded HSA contributions, a health cash plan, EAP access, and dedicated mental‑health support. These provisions extend to family options in some regions, reinforcing broad medical and wellbeing support.
  • Retirement Support Retirement programs include a UK pension match up to 5% and a US 401(k) with a 100% company match up to 6% (with a true‑up). This pairing signals strong, predictable long‑term savings support across key locations.
  • Leave & Time Off Breadth Time‑off policies feature “unlimited” holiday in the UK and flexible, generous PTO with paid US holidays. Paid family leave for birthing parents and bonding further broadens time‑away support.

Graphcore Insights

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The Company
HQ: Bristol
762 Employees
Year Founded: 2016

What We Do

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.

Why Work With Us

Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.

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Graphcore Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.

Typical time on-site: 3 days a week
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Hsinchu Office
London Office
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