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Nvidia Senior DevOps Infrastructure Engineer Open-Source CI CD 
United States, Texas 
53228541

29.04.2025
US, CA, Santa Clara
time type
Full time
posted on
Posted 4 Days Ago
job requisition id

What you will be doing:

  • Lead process and infrastructure improvements to increase efficiency and effectiveness of the DriveOS teams

  • Modernize our toolchain to enable fast, measurable, quality engineering

  • Work closely with our Program Management team to capture data needed to make better decisions

  • Consult with and counsel senior management and teams on highly complex technical issues to achieve program level alignment

  • Analyze & diagnose the underlying events contributing to these metrics, identify trends, and resolve top priority engineering work toward improving the platform experience

  • Drive implementation and/or recommend improvements across features and throughout the stack, in collaboration with the corresponding component engineering teams.

  • Ensure that the driving quality of the fleet engineering remains optimized by making go/no-go decisions on major technical changes, defining the tests/frameworks required to guard against regressions, andidentifying/addressingregressions.


What we need to see:

  • Bachelors or a higher degree (or equivalent experience) in Computer Science or a related field, or strong technical work history

  • 15+ years of experience in a similar or related role and meaningful experience in automotive software development field

  • Practical experience in developing embedded software, using version control systems, and debugging

  • Well-rounded knowledge of how an autonomous vehicle stack works, and practical experience dealing with the challenges in this area

  • Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations

Ways to stand out from the crowd:

  • Experience with autonomous vehicle and/or machine learning development

  • Background with data analysis tools/languages

  • Experience with Generative AI tools (LLMs)

  • Experience with start-ups and/or early-stage products

You will also be eligible for equity and .