NVIDIA is seeking a Technical Program Manager to drive end-to-end improvements of our autonomous vehicle platform technology and launch a great autonomous driving experience to millions of users around the world! You will participate in a focused effort to productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous DRIVE SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and meaningful. We have customers, and competition. Come join the team and see how you can make a lasting impact on the world.
What you will be doing:
Analyze & diagnose the underlying events contributing to fleet metrics, identify trends, and resolve top priority engineering work for improving the platform experience.
Consult with expert teams on technical issues. Drive implementation and/or recommend improvements across features and across the stack, in collaboration with the corresponding component engineering teams.
Scale out this iterative development process by developing more automation and leveraging from current operational teams/resources.
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, and identifying/addressing regressions.
Direct and coordinate activities vital to complete several projects within AV Fleet.
What we need to see:
Bachelors or a higher degree (or equivalent experience) in Computer Science or a related field
5+ overall years of experience in a similar or related role
Practical experience working in Linux, using version control systems, and debugging
Well-rounded knowledge of how an autonomous vehicle stack, worked on autonomous vehicle projects, 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:
Able to use data analysis tools/languages such as SQL
Experience with start-ups and/or early-stage products
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