Top Engineering Jobs

As Director of Product Engineering, you will manage product engineers to optimize manufacturing yield, quality, and costs throughout the product lifecycle, while collaborating with various teams to define testing requirements and drive improvements in production.

Provide IT support for Windows, macOS, and Linux systems, collaborating with engineering teams, troubleshooting issues, and managing user accounts.

Lead post-silicon debug and validation for AI compute silicon and platforms. Identify, reproduce, analyze, and resolve complex silicon, firmware, software, and system-level issues. Develop automated debug and validation infrastructure, tests, and tooling using Python and related technologies. Collaborate across architecture, RTL, firmware, and systems teams, define validation metrics and debug workflows, and support silicon readiness and release decisions.

Design, develop, automate and report integration and system tests across firmware, BMC and Linux device drivers. Build scalable CI/CD pipelines and internal tools, triage/debug cross-layer issues, drive quality and reliability, collaborate with component teams, and mentor junior engineers.

Design, build, automate and report integration and system tests for firmware, BMC and Linux device drivers. Develop reusable CI/CD pipelines and tools, triage cross-layer issues, improve validation frameworks, and mentor junior engineers to ensure robust, scalable system software releases.

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.

Develop and maintain tools for software infrastructure, deploy and manage Kubernetes and Cloud Infrastructure to support AI software and hardware.

Develop tools and services for building, testing, and integrating Machine Learning Software. Collaborate with QA and development teams, focusing on best practices and troubleshooting integration issues.

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

Lead QA for Graphcore's telemetry and observability platform. Design and implement end-to-end test strategies, automated frameworks, and realistic large-scale test environments. Validate telemetry pipelines, APIs, performance, scalability, resilience, and integrate tests into CI/CD. Drive root-cause analysis, quality metrics, and release readiness.