Top Engineering Jobs

The Staff Manufacturing Product Engineer will collaborate with design, quality, and supply chain teams to optimize manufacturability, manage engineering relationships, improve yield and quality, and drive continuous improvements in manufacturing processes.

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.

Develop, automate and report integration and system tests across firmware and device drivers. Build CI/CD pipelines, packaging solutions, and collaborate with developers and QA to validate system features and manage test resources.

Deliver microarchitecture and RTL for Graphcore silicon: integrate IP/subsystems into SoC, maintain build/config environments, run synthesis/lint/CDC/timing checks, support verification and physical design handoffs, debug integration issues, improve automation and integration flows, and produce high-quality documentation.

Develop, manage, and sustain tools and services for software build, test, deployment, and release. Build and maintain API integrations and automation workflows, support Linux-based environments, and improve reliability while reducing operational toil. Mentor junior and graduate engineers and collaborate across engineering and security teams.

The Senior Systems Engineer focuses on analyzing performance data from systems, ensuring stability for production, and using engineering judgment for decision-making in a high-performance computing context.

The role involves measuring and analyzing performance and reliability of large-scale Linux systems, running experiments, and communicating results effectively.

The role involves analyzing performance and reliability data from large-scale systems, focusing on interpreting results to support engineering decisions, particularly in Linux environments.

The role involves analyzing system performance and reliability, interpreting data to inform engineering decisions, and enhancing measurement techniques through experimentation. Candidates should possess strong software engineering background and experience with distributed systems, primarily in Linux environments.