Senior Machine Learning Engineer, Perception - Autonomous Driving

Nvidia Corporation

Base: 184,000 usd - 287,500 usd (level 4); 224,000...
Not specified
Deep learning models for perception
End-to-end solutions for av stack
Data-driven development
Nvidia Corporation is seeking a Senior Machine Learning Engineer specializing in perception for autonomous driving solutions. The role involves designing end-to-end solutions for perception modules, focusing on data-driven development and deep learning applications to enhance the robustness and accuracy of autonomous driving systems

Job Summary

  • We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA’s autonomous driving solutions.
  • As a member of our perception team, you will be driving E2E solutions for perception modules that are responsible for online mapping — including road layouts, lane structures, boundaries, crosswalks, and other traffic components critical for driving without reliance on HD maps.
  • Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.

Matching Summary

Match Score: 85

Nvidia Corporation is seeking a Senior Machine Learning Engineer specializing in perception for autonomous driving solutions. The role involves designing end-to-end solutions for perception modules, focusing on data-driven development and deep learning applications to enhance the robustness and accuracy of autonomous driving systems.

Salary

Base: 184,000 USD - 287,500 USD (Level 4); 224,000 USD - 356,500 USD (Level 5); Bonus/Equity: Equity; Benefits: Benefits

Skills & Requirements

Must-have

  • Deep learning models for perception
  • End-to-end solutions for AV stack
  • Data-driven development
  • Python and/or C++ programming
  • Deep learning frameworks (e.g., PyTorch)

Nice-to-have

  • Technical leadership experience
  • Generalizable perception solutions
  • DNN-based solutions to embedded platforms
  • Transformers, BEV architectures
  • Online mapping and complex road detection

Key Requirements

  • PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience
  • 2+ years of technical leadership
  • Hands-on work experience in developing deep learning and algorithms
  • Experience in data-driven development and collaboration with data and ground truth teams

Work Rights

Not specified

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