Senior Manager, Performance Engineering, Kernel and Software Platforms

What you'll do

• Supervise continuous performance tracking for GPU software products from pre-silicon simulation through post-release maintenance.
• Architect theoretical and empirical performance models to set targets and correlate simulation predictions against production silicon.
• Evaluate and benchmark performance translation across kernel authoring flows from high-level DSLs to hardware execution.
• Identify and maintain stress-test suites and workload testlists to detect regressions and validate hardware release candidates.
• Align performance achievements with target expectations on schedules linked to the CUDA release timeline.
• Integrate AI infrastructure and LLM workflows to automate telemetry analysis and performance reporting pipelines.

What we're looking for

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
• Experience in systems/software performance engineering, platform benchmarking, or a related area.
• 5+ years of experience leading or managing technical engineering teams.
• Demonstrated track record tracking performance through the entire hardware pipeline from design-time simulation to production hardware.
• Proven ability to build expectation models and correlate simulation predictions with physical hardware telemetry.
• Understanding of modern kernel compilation pipelines, compiler flows, and how high-level software abstraction impacts low-level execution.
• Experience developing workload testlists to detect performance regressions and aligning performance delivery with software release cycles.
• Proficiency in Python automation with experience employing generative AI APIs and models to automate triage and analytical workflows.