Senior Perception Engineer - Autonomous Driving (Equity)

NVIDIA

Washington

On-site

USD 184,000 - 357,000

Full time

10 days ago

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Benefits offered by this job

Equity
Benefits

Job summary

NVIDIA is seeking a Senior Perception Engineer to develop and productize autonomous driving perception modules, including road layouts, lane structures, boundaries, and traffic elements. You will drive end-to-end perception solutions, collaborate with data teams, and advance models for robust, low-latency performance across diverse driving environments.

Join NVIDIA’s perception team to push the boundaries of AI-powered vehicles.

Qualifications

  • PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in CS/CE or related field.
  • 2+ years of technical leadership is a plus.
  • Hands-on deep learning development experience with clear results.
  • Experience with data-driven development and collaboration with data teams.
  • Strong programming skills in Python and/or C++.

Responsibilities

  • Design end-to-end perception solutions for AV stack to detect road networks across varied environments.
  • Research and develop deep learning models for lane graphs, road boundaries, and traffic elements.
  • Develop generalizable approaches for diverse ODDs and country expansion.
  • Lead data collection and labeling efforts to improve perception accuracy and efficiency.
  • Productize perception solutions meeting safety, latency, and robustness requirements.

Skills

Python
C++
PyTorch
Deep learning
Technical leadership
Team collaboration

Education

PhD or MS with 6+ years
BS with 8+ years

Tools

PyTorch

Job description

NVIDIA is seeking a Senior Perception Engineer to develop and productize autonomous driving perception modules, including road layouts, lane structures, boundaries, and traffic elements. You will drive end-to-end perception solutions, collaborate with data teams, and advance models for robust, low-latency performance across diverse driving environments.

Join NVIDIA’s perception team to push the boundaries of AI-powered vehicles.

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