Manager, Deep Learning – Autonomous Vehicles And Robotics

NVIDIA

Base: $224,000 - $356,500 (level 3) or $272,000 - ...
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Deep learning model optimization
Inference engineering experience
Neural network compilation skills
** NVIDIA is seeking a Manager for its Deep Learning team focused on autonomous vehicles and robotics. The ideal candidate will lead a team in optimizing deep learning models for production on edge hardware, collaborating with automotive OEMs and robotics partners. **

Job Summary

  • You will lead a group of highly skilled engineers delivering production-quality deep learning solutions for autonomous vehicles and robotics on edge hardware.
  • The role involves defining strategic technical initiatives and working directly with automotive OEMs and robotics partners to solve complex optimization challenges.
  • Candidates must have at least 8 years of overall experience with 5+ years specifically in deep learning model optimization or inference engineering.

Matching Summary

Match Score: 75

** NVIDIA is seeking a Manager for its Deep Learning team focused on autonomous vehicles and robotics. The ideal candidate will lead a team in optimizing deep learning models for production on edge hardware, collaborating with automotive OEMs and robotics partners. **

Salary

Base: $224,000 - $356,500 (Level 3) or $272,000 - $431,250 (Level 4); Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Deep Learning model optimization
  • Inference engineering experience
  • Neural network compilation skills
  • TensorRT or equivalent toolchains
  • Team leadership in DL domain

Nice-to-have

  • Experience with ML compiler frameworks
  • Familiarity with automotive safety standards
  • Background in training pipeline optimization
  • Knowledge of Agentic AI frameworks
  • Direct OEM engagement experience

Key Requirements

  • Master's degree in Computer Science or related field
  • 8+ years total experience
  • 5+ years in deep learning optimization
  • 4+ years team leadership experience
  • Strong knowledge of modern DL architectures

Work Rights

Not specified

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