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Lead power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon phases. Define validation strategies, develop automation and benchmarks (Python), run post-silicon bring-up, characterize CPU/memory/interconnect/I/O under workloads, analyze data to find bottlenecks, and collaborate with cross-functional teams to remediate and improve validation infrastructure.

Lead and execute power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon stages. Define validation strategies, develop automation and benchmarks (Python), run characterization, analyze large datasets to find bottlenecks, and collaborate with architecture, RTL, firmware and systems teams to drive performance and reliability improvements.

Lead power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon phases. Define validation strategies, develop automation and benchmarking frameworks (Python), run characterization and bring-up, analyze data to identify bottlenecks, and collaborate with architecture, RTL, firmware and systems teams to drive optimizations and production readiness.

Seeking a Staff Hardware Engineer for advanced operational and diagnostic support of Arm-based hardware platforms, focusing on troubleshooting AI compute systems.

The Staff Systems Engineer will troubleshoot and support Graphcore's AI hardware platforms, ensuring performance and reliability through collaboration and validation processes.

The Senior Systems Engineer role involves troubleshooting, maintaining, and supporting AI compute hardware platforms while collaborating with engineering teams for reliability and performance.

As a Senior Embedded SW/FW Engineer, you will design, develop, and validate silicon tests using C/C++, support post-silicon validation, and mentor engineering team members.

Lead the validation of hardware platforms, define strategies, manage a validation engineering team, and ensure hardware meets performance and reliability targets.

Lead strategic sourcing for memory and storage technologies (DRAM, SSD, HDD) supporting AI infrastructure. Develop supplier strategies, manage relationships, negotiate commercial agreements, ensure capacity and supply continuity, perform cost modelling and market intelligence, drive supplier performance and risk mitigation, and support new product introductions with cross-functional teams.

The AI Platform Architect will design a cohesive architecture for AI environments, oversee workload orchestration, eliminate system bottlenecks, and collaborate on hardware-software integration. Responsibilities include developing a 3-to-5-year technical vision for the AI platform and ensuring data flow between AI compute nodes and network fabrics is optimized.