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Manager, Deep Learning - Autonomous Vehicles and Robotics

NVIDIA

US, CA, Santa Clara · On-site · relocation$18,667–35,938 gross/mofull-timeNVIDIA Careers (offices abroad)

Join our Deep Learning Engineering team within NVIDIA's Tegra Solutions Engineering organization, where we deliver production-quality deep learning solutions for autonomous vehicles and robotics on edge hardware. As a key member of our team, you'll lead a group of highly skilled engineers.

Responsibilities

  • Lead and develop a team of deep learning engineers delivering inference optimization and model enablement solutions for automotive and robotics customers.
  • Drive end-to-end technical engagements with OEM partners, owning scoping, resource allocation, and delivery of production-quality solutions.
  • Set technical direction on how modern architectures (transformers, vision-language models, state space models) are optimized and deployed on GPU and SOC platforms.
  • Partner with compiler, runtime, and hardware teams to connect customer workload patterns with platform capabilities and roadmap priorities.
  • Collaborate with NVIDIA
  • Research and internal deep learning teams to bring brand new techniques into production!
  • Represent NVIDIA externally at partner reviews, conferences, and industry forums.
  • What we need to see
  • Master's degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.
  • 8+ years of overall experience with at least 5 years in deep learning model optimization, inference engineering, or neural network compilation.

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    Work format
    On-site
    Seniority
    Lead
    Posted
    22 Apr 2026
    Last verified
    In the last 5 days

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