NVIDIA

Senior Software Engineering Manager, Autonomous Driving Operations

NVIDIA

June 11, 2021


NVIDIA is seeking a Senior Software Engineering Manager to lead the operations team to scale on road driving across worldwide regions.
With our invention of the GPU, we set the stage for advances in the field of artificial intelligence, computer vision, and medical research. Today, we are developing groundbreaking products in robotics and intelligent autonomous machines. There has never been a more exciting time to join us!
Together, our team will help advance NVIDIA's capacity to build and deploy leading solutions for a broad range of AI based applications such as autonomous driving, robotics, healthcare, virtual reality, graphics engines and visual computing.
What you will be doing:
You will be leading a team who is responsible for:

  • Abstracting HW Fleet operations: responsible for HW Fleet operations to the rest of the organization, including to developers and to validation

  • HW Fleet operations will provide the car service and the Garage service Worldwide

  • Onboard new regions and cars: Own the Ops roadmap, and execute onboarding new cars and routes in various regions alongside HW Fleet operations, and other dependent teams (Validation, Product, Route/Mapping, Data, edge tooling and infrastructure)

  • Execute the WW test plan for driving

  • Manage the validation teams to execute the worldwide Test plan on the set cadence and procedure worldwide. Quality control reporting of this work and ensuring proper process for filing tickets with essential logs

  • Report, track and improve Fleet efficiency: own the fleet efficiency across car, garage, people and execution. Drive it to the Speed of light. Own/ Escalate and drive major gaps and failures through systemic improvements

  • Provide Fleet access to development as a service: Setup the necessary process for the teams to access the fleet and related infrastructure for developer testing before changes get into production

  • Extend good practices and the OPS framework into OEM fleets: Part of our fleet will be operated by OEMs, this role would ensure that the APIs to the OEM fleet are exactly the same as the NVIDIA Fleet. And can operate at scale across multiple OEMs

  • Thought leadership:

    • Workflow & tooling: Support the tooling teams to rapidly prototyping solutions to unblock execution and working with the relevant tooling ops teams to productionize them in a manner that is consistent with the broader process/ecosystem

    • KPIs & analytics: support the KPI teams to Implementing, reporting, and analyzing E2E product KPIs to understand the current state of our software and inform product priorities

What we need to see:

  • BS or MS or equivalent experience in Computer Science, Electrical Engineering or field experience

  • 8+ years of relevant work experience

  • 10+ years of proven experience managing operations teams and Triage/ Fast response teams, and specifically scaling out through tools, automation and personnel

  • Vehicle platform or similar management experience

  • Experience in automating workflows

  • Exceptional communication and interpersonal skills across various teams

  • Problem solver and “Buck stops with you” leadership

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative computer scientist/engineer with a real passion for autonomous driving, we'd love to hear from you.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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