JobsSenior Manager, Performance Engineering – Kernel and Software Platforms
Senior Manager, Performance Engineering – Kernel and Software Platforms
NVIDIASenior Manager, Performance Engineering – Kernel and Software Platforms
NVIDIALocation
Santa Clara, CA
Type
Full-time
Posted
8/8/2026
Compensation
$272,000 - $488,750 per year
Undergraduate with 5+ Years of Experience
Approval 99.2%·Filings 1,781·New hires 873·
👑 Elite Sponsor
·FY 2025Job description
The Performance Analysis Manager at NVIDIA will lead an engineering team focused on optimizing product performance throughout the hardware lifecycle. This role involves bridging design-time predictions with real-world execution, analyzing kernel authoring flows, and promoting automation using AI tools. The manager will ensure continuous performance tracking and alignment with CUDA release schedules. The position is critical for maintaining performance excellence in NVIDIA's accelerated computing platform.
Requirements
- MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 10+ overall years of 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.
- Proven track record to build expectation models and correlate simulation predictions with physical hardware telemetry.
- Understanding of modern kernel compilation pipelines and how high-level software abstraction impacts low-level execution efficiency.
- Experience developing workload testlists to detect performance regressions and aligning performance delivery with major software release cycles.
- Proficiency in Python automation with practical experience employing generative AI APIs/models.
Responsibilities
- Supervise and maintain continuous performance tracking for GPU software products from pre-silicon to post-release.
- Architect theoretical and empirical performance models to set targets early in design.
- Evaluate and benchmark performance translation across diverse kernel authoring flows.
- Identify, craft, and maintain stress-test suites and workload testlists representative of production applications.
- Work multi-functionally with teams to ensure performance achievements align with CUDA release timelines.
- Integrate modern AI infrastructure to automate telemetry analysis and streamline performance reporting.
Benefits
- Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.
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