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Senior Research Engineer - Autonomous Vehicles

NVIDIA

US, CA, Santa Clara · On-site · relocation$15,333–29,708 gross/mofull-timeNVIDIA Careers (offices abroad)

The position will aid fundamental research with the freedom and bandwidth to conduct ground-breaking publishable research. At the same time, you will also have the opportunity to impact products and collaborate with teams that focus on AI products based on CUDA, physically-based simulation, graphics, natural language processing, autonomous driving, HW optimization, robotics, healthcare, and many more.

Responsibilities

  • Develop large-scale supervised learning and reinforcement learning training frameworks to support multi-modal foundation models for AVs capable of running on thousands of GPUs
  • Implement scalable data loaders and preprocessors tailored for multimodal datasets, including videos, text, and sensor data
  • Build and optimize simulation infrastructure (based on GPU-accelerated simulators) to support the training of driving policies for AVs at scale
  • Collaborate with researchers to integrate cutting-edge model architectures into scalable training pipelines.
  • Develop sim-to-real transfer pipelines and work closely with the AV product team to deploy to real-world cars
  • Develop robust monitoring and debugging tools to ensure the reliability and performance of training workflows on large GPU clusters.

Languages

    Work format
    On-site
    Seniority
    Senior
    Posted
    5 Aug 2026
    Last verified
    In the last 5 days

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