Senior Performance Engineer - AI & GPU Benchmarking Lead

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 136,000 - 270,000

Full time

6 days ago
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Job summary

NVIDIA Corporation seeks a Performance Engineer to join a team advancing AI, accelerated computing, and modern graphics technologies. You will work with Marketing, Architecture, and Engineering to produce competitive data analyses and influence product decisions.

You will run benchmarks across GPUs and develop automation tools to streamline testing. The role requires a Bachelor’s degree with 5+ years of relevant experience, strong Python skills, and deep hardware knowledge to identify

Qualifications

  • Bachelor’s degree or equivalent experience.
  • 5+ years in a technical or business marketing field.

Responsibilities

  • Collaborate with Marketing, Architecture, and Engineering across Enterprise to provide competitive and internal data analysis.
  • Set industry performance expectations and influence product decisions.
  • Bring up and debug pre‑production hardware to support NVIDIA products.
  • Run performance, image quality, and power tests on GPUs for Professional Visualization, AI, and LLM benchmarks.
  • Develop Python tools to automate benchmarking and balance configuration files.
  • Design tools and processes to improve benchmarking reporting workflows.
  • Analyze test results and craft reports used internally.

Skills

Performance analysis
Python scripting
Hardware knowledge
Cross‑functional collaboration
Project juggling

Education

Bachelor’s degree or equivalent experience

Tools

Python

Job description

NVIDIA Corporation seeks a Performance Engineer to join a team advancing AI, accelerated computing, and modern graphics technologies. You will work with Marketing, Architecture, and Engineering to produce competitive data analyses and influence product decisions.

You will run benchmarks across GPUs and develop automation tools to streamline testing. The role requires a Bachelor’s degree with 5+ years of relevant experience, strong Python skills, and deep hardware knowledge to identify

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