NVIDIA is seeking a Technical Program Manager to drive end-to-end improvements of our autonomous vehicle test fleet operation 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: + Coordinate among requesting teams to plan test resources, track progress to ensure test resource availability + Oversee test execution team, understand test requirements. Guide execution to provide quality test results. + Lead the fleet efficiency across car, garage, people and execution. Drive it to the Speed of light. Own/ Raise and drive major gaps and failures through systemic improvements. + 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. + Lead, manage, train, and/or provide guidance to other team members and contractors + Scale out this iterative development process by developing more automation and leveraging from current operational teams/resources. What we need to see: + Bachelors or a higher degree (or equivalent experience) in Computer Science or a related field + 8+ 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 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: + Background with autonomous vehicle and/or machine learning development + Experience with data analysis tools/languages + Experience with start-ups and/or early-stage products