Engineering Manager - Workload Management

At Graphcore, a company building the future of AI compute, the team consists of semiconductor, software, and AI experts creating the complete AI compute stack from silicon and software to infrastructure at datacenter scale. Graphcore is part of the SoftBank Group and is expanding its teams globally to address AI opportunities.

• 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 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 and their networking requirements.
• Experience working in an engineering team supporting the development of hardware products.

• Line management of engineers including day-to-day support, regular reviews, mentoring, and career development.
• Lead by example in positive, constructive, and pragmatic approaches to problem solving.
• Responsible for the delivery of Workload Management Ecosystem initiatives and associated deliverables.
• Take ownership of quality assurance for Kubernetes integration.
• Track and report on the progress of work to the broader Platform team and other stakeholders.
• Collaborate with internal customers and stakeholders in the wider Graphcore business to understand their needs and technical integration pain points.
• Help establish best practices within the Workload Management Ecosystem team and support engineers in delivering against them.

• Competitive salary.
• Flexible working.
• Annual leave policy.
• Medical and dental health plans.
• Gym card.
• Medical assessments.
• Employee pension matched up to 4%.
• Employee assistance programme including health, mental wellbeing, and bereavement support.
• Training budget.
• International projects.
• Stunning view.
• Team events.
• Modern office.
• Free coffee.
• Gym.
• Canteen.
• Bike parking.
• Playroom.
• Shower.
• Free snacks.
• Free beverages.
• Free parking.
• Startup atmosphere.
• Free breakfast.
• No dress code.

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment. We offer an equal opportunity process and provide a flexible approach to interviews including reasonable adjustments.