Senior Perception Engineer, Autonomous Driving — Equity

NVIDIA Corporation; California; On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation invites applications for a Senior Perception Engineer to lead perception modules for autonomous driving, including road layouts, lane structures, and traffic element recognition. You will design end-to-end perception solutions and drive data-driven development with large labeling teams to improve accuracy and robustness.

The role emphasizes cross-functional collaboration, fast iteration, and deployment to diverse global environments, with a focus on safety, latency, and

Qualifications

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

Responsibilities

• Design end-to-end perception solutions for AV stack, enabling road network detections in varied environments.
• Develop DL models for lane graph construction, road boundary detection, and traffic element recognition.
• Advance methods to support diverse ODDs and country/region expansion.
• Lead data-driven development with large data collection and labeling teams to maximize data value.
• Leverage data simulation/augmentation for extreme scenarios.
• Productize perception solutions meeting safety, latency, and robustness requirements.

Skills

Python

C++

PyTorch

Education

PhD

MS

BS

Job description

NVIDIA Corporation invites applications for a Senior Perception Engineer to lead perception modules for autonomous driving, including road layouts, lane structures, and traffic element recognition. You will design end-to-end perception solutions and drive data-driven development with large labeling teams to improve accuracy and robustness.

The role emphasizes cross-functional collaboration, fast iteration, and deployment to diverse global environments, with a focus on safety, latency, and