Cloud Software Engineer at Graphcore

Gdańsk, Pomeranian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Go, Kubernetes, Python, Cloud Computing, Container Orchestration, CI/CD, DevOps, Machine Learning, Azure, GCP, AWS, Documentation, Teamwork, Communication, RDMA Networks, GitHub, GitLab

Industry

Semiconductor Manufacturing

Description

About 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 enjoys a culture of continuous learning and constant innovation. Job Summary As a Cloud Software Engineer, you will play a key role in enabling new AI accelerator hardware within Kubernetes environments. You will be responsible for developing device plugins in Go, ensuring seamless integration with existing Kubernetes clusters, and providing a native Kubernetes end user experience. This role requires a strong foundation in software development, container orchestration technologies and cloud computing. Responsibilities and Duties Develop and maintain device plugins in Go for new AI accelerator hardware integration in Kubernetes. Ensure seamless integration of new hardware with existing Kubernetes clusters. Collaborate with cross-functional teams to design, implement, and test new features. Participate in code reviews, design discussions, and troubleshooting sessions. Maintain high standards of software quality within the team by following good practices and habits. Write and maintain comprehensive documentation for your code and the overall project. Stay up-to-date with the latest trends and technologies in cloud computing and Kubernetes. Skills and Experience Bachelor's degree in Computer Science, Engineering, or a related field. At least 3 years of experience in software development, preferably in cloud environments. Strong working knowledge of Python or Go programming language. Experience with Kubernetes is essential, with a preference for candidates holding a Certified Kubernetes Administrator (CKA) certification. Familiarity with container orchestration, and cloud-native development. Knowledge of cloud computing platforms such as Azure, GCP, AWS and their services. Familiarity with machine learning-related technologies within the Kubernetes ecosystem e.g. Kubeflow, KubeVirt, Kata containers, Volcano is highly desirable. Knowledge of RDMA networks is considered an asset. Experience with CI/CD pipelines and DevOps tools e.g. GitHub/GitLab. Excellent communication and teamwork skills. English- B2 level. Benefits In addition to a competitive salary, Graphcore offers flexible working, annual leave policy, medical and dental health plans, a gym card, medical assessments and employee pension (matched up to 4%). We also have an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. 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.

Responsibilities

Develop and maintain device plugins in Go for new AI accelerator hardware integration in Kubernetes. Collaborate with cross-functional teams to design, implement, and test new features.