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Design, implement, optimize, and support PyTorch, Triton, and related framework features for Graphcore accelerators. Contribute to upstream PyTorch, maintain Python and C++ extensions, integrate compiler backend capabilities with torch.compile, review code, write documentation, and support users. Collaborate with software, AI/ML, research, and hardware teams while working in large open-source codebases.

Lead manufacturing test strategy for complex Circuit Card Assemblies, covering optical and X-ray inspection, in-circuit testing, boundary scan, and functional test. Define test methods, evaluation criteria, architectures, and diagnostic approaches to improve defect coverage and production quality. Architect, program, and debug board-level test systems while collaborating with engineering teams, suppliers, and manufacturing partners. Provide technical direction, mentor engineers, and strengthen future product test capabilities.

Develop and operate private cloud services supporting Graphcore AI systems. Translate requirements into reliable deployed services, using Infrastructure-as-Code, automation, testing, monitoring, and observability. Manage Linux-based infrastructure across cloud, virtualization, networks, storage, and pre-release hardware and software. Collaborate with software platform, datacentre, and product teams to maintain critical system performance and availability.

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.

Seeking a Staff Hardware Engineer to support Graphcore's AI hardware platforms through troubleshooting, validation, and engineering support. Responsibilities include diagnosing failures, collaborating with teams, and providing mentorship to junior engineers.

Lead hardware bring-up, validation, and advanced troubleshooting for server blades, motherboards, power and thermal systems, and rack-scale AI compute platforms. Collaborate on root-cause analysis, develop SOPs, support deployments, mentor junior staff, and provide off-hours/on-call engineering support.

Analyze data center, system, and silicon telemetry to detect anomalies, forecast failures, and optimize AI infrastructure. Build predictive models, feature pipelines, and analytics foundations using time-series and large-scale telemetry data. Partner with platform, hardware, and software engineers to improve observability, data quality, system reliability, and automated engineering decisions.

The Staff Software Engineer will design and develop the Collectives Communication Library for AI hardware, lead development efforts, mentor junior engineers, and ensure integration with existing systems.

This role involves designing and maintaining automated test suites for Kubernetes, validating integrations, and mentoring engineers in QA practices.

Lead and conduct post-silicon validation for AI compute blades and racks, ensuring performance meets product standards while collaborating with multiple teams and mentoring engineers.