Principal Deep Learning Engineer – Perception, Autonomous Driving

Nvidia Corporation

United States
Base: 272,000 usd - 431,250 usd; bonus/equity: equ...
On-site
Deep learning architectures for 3d obstacle detection
Semantic segmentation and multi-object tracking
End-to-end productization of perception models
Nvidia Corporation is seeking a Principal Deep Learning Engineer to join its Autonomous Driving Perception team, focusing on developing high-accuracy perception systems for autonomous vehicles. The ideal candidate will possess extensive experience in deep learning and computer vision, with a strong emphasis on productizing robust software solutions

Job Summary

  • Lead the development of state-of-the-art perception systems that enable vehicles to understand their environment with superhuman accuracy.
  • Drive the architectural vision for core deep learning models, focusing on detection, segmentation, and tracking, and guide these technologies from research to production.
  • Serve as a technical pillar for the perception organization, mentoring senior engineers and influencing cross-functional teams.

Matching Summary

Match Score: 85

Nvidia Corporation is seeking a Principal Deep Learning Engineer to join its Autonomous Driving Perception team, focusing on developing high-accuracy perception systems for autonomous vehicles. The ideal candidate will possess extensive experience in deep learning and computer vision, with a strong emphasis on productizing robust software solutions.

Salary

Base: 272,000 USD - 431,250 USD; Bonus/Equity: Equity; Benefits: Benefits

Skills & Requirements

Must-have

  • Deep learning architectures for 3D obstacle detection
  • Semantic segmentation and multi-object tracking
  • End-to-end productization of perception models
  • Data-centric AI and massive datasets
  • Python and C++ programming skills

Nice-to-have

  • Autonomous driving or robotics industry experience
  • Model optimization for embedded platforms
  • Multi-modal perception systems fusion

Key Requirements

  • Ph.D. or MS in Computer Science, Robotics, Machine Learning, Computer Vision, or related field (or equivalent experience)
  • 12+ years of applied research and software engineering experience
  • Proven track record in shipping commercial deep learning software products
  • Deep foundational knowledge in object detection, occupancy networks, semantic/instance segmentation, and temporal tracking
  • Experience with data labeling taxonomies and automated pipelines

Work Rights

Not specified

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