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Performance Engineer, Embedded – Edge AI

NVIDIA
Santa Clara, CA Full-time 12/2/2025 $108k - $212.8k per year
Undergraduate with 2+ Years of Experience

Job Description

NVIDIA is seeking a performance engineer to enhance customer engagement for Jetson & DRIVE marketing teams through competitive data analysis and performance benchmarking. The role involves developing and automating benchmarks, configuring lab systems, and analyzing data to identify performance bottlenecks in Edge AI applications.

Requirements

  • A Bachelor’s degree or Master’s degree (or equivalent experience in a technical field)
  • 2+ years of significant industry experience (performance engineering and software development preferred)
  • Advanced knowledge of Linux (debugging and configuring) and proficient in compiling software from source
  • Excellent programming and debugging skills in a scripting language such as Python and/or Unix Shell
  • Background with performance/power testing or optimizations
  • Experience with lab equipment such as DMMs, Agilent DAQs, National Instrument DAQs
  • Knowledge of benchmarking fundamentals, performance analysis, and data comparisons
  • Familiarity with writing technical reports, data analysis, and comparison charts

Responsibilities

  • Report, guide, and advise NVIDIA Jetson & DRIVE marketing teams to boost customer engagement using competitive data analysis
  • Develop, run, and automate performance and power benchmarks across Jetson, DRIVE, and competitive platforms
  • Configure lab systems and DUTs, including wiring to power measurement equipment
  • Develop, scale, and maintain benchmarking and test automation tools
  • Compile, configure, and validate Embedded and Automotive Artificial Intelligence frameworks and SDKs
  • Analyze benchmark data, build dashboards/visualizations, and deliver clear reports to engineering and marketing teams
  • Identify, triage, and resolve performance/power bottlenecks with Edge AI software/hardware and product teams
  • Translate customer requirements into test plans and methodologies