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Sustainable Talent

Triage Analyzer- Autonomous Vehicle Test Engineer supporting Nvidia

Santa Clara, CA$145.6k–$197.6kcontractmidAdded today

About this role

NVIDIA is seeking a Triage Analyzer to support autonomous vehicle testing, analyzing software issues from daily vehicle tests and collaborating with development teams. You'll perform root cause analysis, issue categorization, and documentation while maintaining technical knowledge of autonomous driving systems.

What you'll do

  • Analyze and triage issues reported from autonomous vehicle daily testing
  • Execute complete problem analysis including root cause analysis, categorization, and reporting
  • Communicate with development teams to understand functional design and maintain technical knowledge
  • Develop documentation and tools to support issue analysis processes
  • Collect test data from in-vehicle testing and provide performance feedback

What they're looking for

  • Autonomous driving systems knowledge
  • Linux experience
  • Python or Java programming
  • Vehicle system and AV function design understanding
  • Issue triage and root cause analysis
  • In-vehicle testing and implementation
  • Technical documentation
  • Communication and collaboration

Benefits

  • Full benefits package
  • Paid time off
  • Remote work options
  • Competitive hourly pay
  • Access to cutting-edge autonomous vehicle technology
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Sustainable Talent

Sustainable Talent appears to connect technical professionals with contract and permanent roles at major technology companies, focusing on infrastructure, systems, and driver validation work. The company is hiring for Site Reliability Engineers, Windows System Validation Engineers, and Windows Driver Validation Engineers who support cloud infrastructure, system quality assurance, and GPU driver performance across various platforms.

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Likely interview questions

  • Walk us through your experience with autonomous vehicle testing and the specific types of issues you've triaged.
  • Describe a complex technical issue you encountered in AV testing—how did you analyze and resolve it?