Cloud Software Engineer

About this role

Responsibilities

• 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.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 3 years of experience in software development, preferably in cloud environments.

Requirements

• 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.

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 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.