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 builds Graphcore products into large-scale AI solutions for our customers and qualifies 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 management of engineers. This includes day-to-day support, regular reviews, mentoring and career development. 
• Lead by example in positive, constructive and pragmatic approaches to problem solving. 
• 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.  
• Collaborating with internal customers and stakeholders in the wider Graphcore business to understand their needs and the technical integration pain points. 
• Helping to establish 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 tools. 

 Desirable but not required: 

• Experience or good understanding of AI or Machine-Learning workloads, their networking requirements. 
• Experience working in an engineering team supporting the development of hardware products. 
  

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.