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NVIDIA
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February 3, 2026
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Performance Engineer, Deep Learning and HPC

Santa Clara, CA
Full-time
Onsite
$116K/yr - $190K/yr
Entry, Mid Level
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a Performance Engineer focused on Deep Learning and High-Performance Computing applications to join their diverse team, responsible for generating benchmark data and improving automated testing processes.
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Responsibilities

  • Plan and execute performance benchmarking across a wide range of HPC and DL frameworks and applications
  • Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, SW, and HW teams
  • Develop Python scripts to automate the testing of DL & HPC-focused applications
  • Work with internal engineering team to debug performance issues
  • Learn to use the latest applications in the areas of advanced machine learning and HPC
  • Assist with the development of tools and processes that improve our ability to perform automated testing

Qualification

Required

  • B.S. in Computer Engineering, Computer Science or related technical field (or equivalent experience)
  • 2+ years of experience
  • Excellent programming and debugging skills in a scripting language such as Python or Unix shell
  • Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred)
  • Proficient in compiling software from source code, including debugging errors encountered
  • Excellent English verbal and written interpersonal skills to improve collaboration with coworkers
  • Excellent data analysis skills and the ability to summarize findings in a written report
  • Familiarity using a container platform such as Docker or Singularity

Preferred

  • Experience using a GPU-enabled deep learning framework such as PyTorch, MXNet, or TensorRT
  • Experience using GPU-enabled HPC applications such as LAMPS, GROMACS, Amber, RTM, etc…
  • GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure
  • Software compilers such as GNU, Intel Composer, or PGI
  • Previous experience with computer clusters and cluster orchestration and scheduling tools

Benefits

  • Equity
  • Benefits
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
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Founded in 1993
Santa Clara, California, USA
10001+ employees
https://www.nvidia.com