About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking for a Senior Software Engineer for the Parking, Autonomous Vehicles team at Nvidia. In this role, you will help build groundbreaking technology at the intersection of automotive and robotics that is intended to unlock a new generation of driver assist features. The team you will be joining is building features to support parking and driving activities on the Autonomous Vehicle program, and we are looking for someone with strong curiosity and who enjoys solving difficult problems with analytical rigor.

Requirements

  • Experience in Mathematics, Control, Optimization, Machine Learning, Reinforcement Learning, etc.) or equivalent.
  • PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
  • Experience using C++ for development.

Nice To Haves

  • Experience with ML planning approaches.
  • Previous experience with parking assist features.
  • Previous experience leading small teams or projects.

Responsibilities

  • Design planning algorithms to handle navigation in unstructured and semi-structured environments.
  • Implement planning algorithms using C++ to support parking and driving features.
  • Write documentation and tests for automotive software.
  • Develop simulations scenarios to assist development of new features.
  • Support deployment of your code on test vehicles and support tests.
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