NVIDIA is seeking a AV Fleet Operation 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:

• Lead a team of engineers, drivers, test operators to bringup and maintenance a fleet of AV test vehicle; carry out tests and generate data and test results along with other teams.

• 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.

• Identify resource gap, collaborate and negotiate with partners and suppliers to acquire resources, e.g. test vehicles, contractors, facilities.

• 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.

• 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

• 10+ overall years of experience in a similar or related role, with 4 years of leadership experience leading engineers and contractors

• 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