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About The Position

NVIDIA is transforming computer graphics, PC gaming, and accelerated computing, and is now tapping into the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars. The Autonomous Driving division is building the next generation AI-native autonomous driving architecture, combining classical safety stacks, foundation models, and scalable AI systems into a unified production platform. This role involves working on problems that build the future of autonomous systems over the next decade.

Requirements

  • Engineers who can build systems — not just components.
  • 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.
  • Production experience in autonomous driving systems.
  • Worked on AI foundation models or large-scale ML systems.
  • Helped drive End-to-end driving models.
  • Experience working on Robotics or embodied AI systems.
  • Knowledge and experience in System architecture from 0 → 1 → scale.

Nice To Haves

  • PhD in a relevant field or related research experience.
  • Knowledge of CUDA is a plus.

Responsibilities

  • Compose and build the architecture behind next-generation self-driving vehicle technology.
  • Work on Prediction, Decision, Planning and Control architecture.
  • Have exposure to Classical safety stack.
  • Build robust system-level safety and fallback strategies.
  • Work on End-to-end data-driven AV pipelines.
  • Hands on experience in DVLA / VA driving models.
  • Develop a World Model–based planning and reasoning model.
  • Have the exposure to engage with Large-scale model inference architecture.
  • Contribute to the integration of innovative research in robotics into self-driving vehicle technologies.
  • Deep knowledge of E2E AV software integration from perception through control, including dependencies, interface management, and performance tuning.

Benefits

  • Equity
  • Benefits

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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