Engineering Manager - Workload Management

Salary Range: PLN 350,700 - 474,400 + Benefits + Equity 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. Job Summary We are seeking an experienced Engineering Manager to join our Workload Management Team, leading our Kubernetes ecosystem initiatives. In this role, you will work closely with the Platform Engineering, AI, and Software Engineering teams, leading a group of engineers responsible for integrating a next-generation hardware accelerator into Kubernetes environments, validating the K8s integration, and supporting DevOps initiatives. This is a people-focused leadership role , not a hands-on engineering position. However, a strong background in software engineering and cloud-native technologies is essential to effectively guide the team, understand technical challenges, and collaborate clearly with a wide range of stakeholders. Previous line-management experience is required. The Platform Engineering team at Graphcore The Platform Engineering team build s Graphcore products into large-scale AI solutions for our customers and qualif ies them for production usage. The Workload Management Team plays a key role in this effort. It enables efficient, reliable, and scalable execution of AI workloads by integrating new accelerator hardware with Kubernetes and the wider cloud-native ecosystem. The team ensures that compute resources are scheduled, utilised effectively across complex environments, while supporting reliability, and operational best practices. Responsibilities and Duties Line m anagement of e ngineers. This includes day-to-day support, regular reviews, mentoring and career development. Lead by example in positive, constructive and pragmatic approaches to problem solvin g. Responsibility for the delivery of Workload Management Ecosystem initiatives and associated deliverables. Taking ownership of quality assurance for K8s integration. Tracking and reporting on the progress of the work to the broader Platform team and other stakeholders. Collaborat ing with internal customers and stakeholders in the wider Graphcore business to understand the ir needs and the technical integration pain points. Help ing to establis h best practice within the Workload Management Ecosystem team and support the engineers in delivering against it. Skills and Experience [ALL REQUIRED] At least 6 years’ experience in line management, with a background in software engineering. Strong understanding of Kubernetes and cloud native technologies. Proven problem-solving ability demonstrated through complex, real-world challenges. Excellent interpersonal skills, with a passion for high-quality engineering and the ability to motivate teams in a fast-changing industry. Strong communication and presentation skills, including experience working with senior stakeholders. Evidence of mentoring junior engineers, leading teams or deliveries, and owning large, complex work items. Bachelor’s degree or equivalent practical experience in a relevant field. Experience defining, scoping, estimating, and planning work in an Agile environment, including managing priorities, risks, issues, and dependencies. Experience with CI/CD pipelines using GitLab, GitHub, or similar ... (truncated, view full listing at source)