Teams at Graphcore

Investigate a next-generation AI computing architecture across rack and data-centre scales. Design experiments, benchmark AI workloads, analyse hardware-software interactions, and evaluate system performance, scalability, and reliability. Develop automation and tooling to collect, analyse, and visualise system metrics, communicating findings with clear, reproducible evidence while collaborating across engineering teams.

Develop internal tooling and technical processes for building, testing, integrating, and releasing Graphcore’s machine learning software stack. Guide developers on build practices and dependency management, collaborate with QA and software teams to resolve integration issues, contribute software fixes, and help ensure reproducible builds in secure, sandboxed environments.

Build and operate Kubernetes-based infrastructure and tooling to support development, testing, deployment and scaling of Graphcores ML software. Manage cloud infrastructure, CI/CD practices, and collaborate with software teams to improve reliability and observability of HPC AI platforms.