Senior Perception ML Engineer — Autonomous Driving (Equity)

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking a Senior Perception Engineer to drive end-to-end perception solutions for autonomous driving, focusing on traffic signal understanding and robust, low-latency implementations.

Join a team that advances data-driven development, collaborates with large data and labeling teams, and leverages PyTorch to push state-of-the-art in perception for real-world driving scenarios.

Qualifications

• PhD with 4+ years, MS with 6+ years, or BS with 8+ years of related experience.
• 2+ years of technical leadership experience is a plus.
• Hands-on with deep learning and algorithms, proficient in PyTorch.
• Experience in data-driven development and collaboration with data/ground-truth teams.
• Strong programming skills in Python and/or C++.
• Excellent communication and teamwork abilities.

Responsibilities

• Design end-to-end perception solutions for traffic signal detection across diverse environments.
• Advance research and development of deep learning models for traffic lights, signs, road markings, and related signals.
• Develop generalizable approaches for diverse operating design domains and regions.
• Collaborate with data collection/labeling teams to prioritize high-value data for perception accuracy.
• Productize perception solutions meeting safety, latency, and robustness requirements.

Skills

PyTorch

Python

C++

Deep learning

Data-driven development

Leadership

Education

PhD

MS

BS

Job description

NVIDIA is seeking a Senior Perception Engineer to drive end-to-end perception solutions for autonomous driving, focusing on traffic signal understanding and robust, low-latency implementations.

Join a team that advances data-driven development, collaborates with large data and labeling teams, and leverages PyTorch to push state-of-the-art in perception for real-world driving scenarios.