Top AI & Machine Learning Jobs

Develop production-grade Go services and Kubernetes components (CRDs/operators) to expose accelerator hardware for scalable AI compute. Ensure reliability, performance, and observability while collaborating with hardware, cloud, and ML teams and mentoring engineers.

Develop, operate, and maintain Kubernetes-based infrastructure and tooling to support build, test, deployment, and scaling of Graphcore's ML software stack. Manage cloud infrastructure (infrastructure-as-code), CI/CD practices, and platform services used by software teams, focusing on reliability, automation, and reducing operational toil.

Develop and maintain internal build, test, and integration tooling for the ML software stack. Improve release processes, guide developers on dependency and build best practices, collaborate with QA and dev teams to resolve integration issues, and contribute fixes to the ML software stack in Linux environments.

Define and drive the software architecture for Graphcore's ML accelerator stack. Collaborate with HW and software teams to document, communicate, prototype, and maintain end-to-end architecture, ensuring performance, reliability, maintainability, security, and alignment with product goals.

Build and maintain infrastructure, tools and services to support AI research and engineering. Deploy and operate services with Kubernetes and Docker, manage cloud infrastructure (Terraform/AWS), support CI/CD, and enable ML application deployment, orchestration, and accelerator hardware management.

Build and maintain infrastructure, tools and services to support AI research and engineering. Deploy and operate services using Kubernetes/Docker, manage cloud infrastructure with Terraform, support CI/CD, and enable ML application deployment and accelerator hardware management.

Build, own, and maintain infrastructure, tools, and services to support ML research and engineering. Deploy and maintain services with Kubernetes and Docker, manage cloud infrastructure (Terraform), and improve CI/CD, build, test, deployment, and productisation of ML software on HPC AI platforms.

Design, implement, optimise and maintain PyTorch framework support for Graphcore accelerators. Deliver features, tests, performance improvements, documentation and code reviews; collaborate across teams and upstream open-source projects; mentor colleagues and contribute to technical direction.

Join Graphcore's Frameworks team to design, implement, optimize and support PyTorch (and other ML framework) integrations for Graphcore accelerators. Deliver features, write tests and documentation, review code, resolve performance issues, collaborate with upstream open-source projects, and mentor teammates.

Develop and optimize high-performance AI compute libraries and kernels (GEMM, convolutions, reductions, fused ops) in C++. Ensure numerical correctness, add microbenchmarks and regression tests, profile and optimize for hardware, debug and improve product quality, work Agile, and mentor teammates.