Senior Perception Engineer - Autonomous Vehicles

Details

Intelligent machines powered by artificial intelligence computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving vehicle powered by AI can navigate a country road at night and find its way. NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots, and self-driving vehicles that can perceive and understand the world.

The team is building the machine learning backbone of the perception component for NVIDIA DRIVE AV. The role focuses on solving challenging problems for self-driving cars using computer vision, LiDAR and camera perception, and AI infrastructure.

Responsibilities

• Design, train, and optimize machine learning models for LiDAR perception, including road element detection, semantic segmentation, and tracking.
• Develop and coordinate complete machine learning workflows covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting.
• Take machine learning models and algorithms from evaluation and experimentation through production, shipping them as part of the NVIDIA DRIVE AV platform.
• Develop highly efficient product code in C++.
• Track the latest developments in machine learning and incorporate techniques that improve platform performance.
• Collaborate with LiDAR and camera teams, developers, engineers, and managers to turn complex ideas into reliable autonomous-driving solutions.

Requirements

• Bachelor's or master's degree in computer science, engineering, or a related field, or equivalent experience.
• At least 6 years of relevant industry experience applying machine learning to real-world problems.
• Strong C++ and Python programming and debugging skills, with experience developing for large, complex systems.
• Deep practical experience applying machine learning to LiDAR or camera perception in automotive or related fields.
• Experience with deep learning frameworks such as PyTorch and TensorFlow.
• Strong understanding of the mathematical foundations of machine learning.
• Experience building and sustaining training and essential metric workflows for large-scale datasets.
• Excellent communication and analytical skills, with a self-motivated drive to solve difficult problems.

Preferred Qualifications

• Proven experience developing and shipping deep learning models for LiDAR or camera perception in a production environment.
• Familiarity with modern network architectures such as Transformers and their application to visual recognition tasks.
• Experience delivering machine learning features and models into a production autonomous vehicle stack or related robotics product.
• Experience optimizing models for real-time inference on embedded or automotive platforms, such as with TensorRT.

Compensation and Benefits

• Base salary for Level 4: USD 184,000–287,500 per year.
• Base salary for Level 5: USD 224,000–356,500 per year.
• Equity and benefits are included.
• Applications will be accepted at least until August 9, 2026.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. The company does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.