Technical Product Manager - AV Simulation

at Nvidia

📍 Santa Clara, United States

$160,000-253,000 per year

SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 3 Python @ 7 Communication @ 4 Git @ 3 Mathematics @ 4 Matlab @ 3 Debugging @ 7 API @ 4

Details

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated 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 encouraged to do their best work. Come join the team and see how you can make a lasting impact on the world.

Responsibilities

At NVIDIA, we are building sensor simulation services to serve autonomous vehicle developers who want to train, test and validate their autonomous stacks in simulation. In this role, you will own the product definition and release of SDKs, reference workflows and software that will enable AV developers to model the behavior and performance of sensors. Sensor simulation for autonomous vehicles requires an ecosystem of partners contributing various elements. Your role will involve working with these partners to build sensor models and enable them to integrate their applications with Omniverse sensor simulation APIs. You will also put together a vision and tackle exciting problems in sensor simulation fidelity, scale and validation.

Requirements

  • BS, MS, or PhD experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields or equivalent experience
  • 6+ years of experience
  • Strong programming and scripting skills, especially in Python
  • Strong problem-solving and debugging skills
  • Excellent presentation, communication and collaboration skills

Ways to stand out from the crowd

  • Experience with NVIDIA GPUs and software libraries, working with engineering or research community
  • Familiarity with Autonomous Driving including Simulation for AV stack and algorithm development
  • Background with simulators such as CARLA, IPG Carmaker, dSPACE, or in-house solutions is a plus.
  • Experience with sensor simulation and developer engagement
  • Familiarity with Docker, Git, OpenCV, MATLAB, PCL, CUDA

Benefits

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family here. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.