Nvidia
Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
US, CA, Santa Clara · Senior
Sponsorship not specifiedDetected 2 days ago
PythonC++AlgorithmsDeep LearningPyTorchNLPComputer VisionRoboticsSensorsCommunicationCollaboration
About the role
- GPU-accelerated deep learning provides the foundation for machines to perceive, reason, and solve complex problems.
- NVIDIA GPUs run deep learning algorithms that simulate aspects of human intelligence, acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
- What we need to see: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Responsibilities
- Develop and improve the technical design, architecture, and roadmap for 3D obstacle perception to support end-to-end autonomous driving functionalities, leveraging state-of-the-art CNN and transformer-based architectures where appropriate.
- Design and implement advanced 3D perception models using multi-camera inputs and/or multi-sensor fusion (camera, radar, lidar) for obstacle detection and tracking, including opportunities to explore BEV and transformer-based 3D perception.
- Collaborate with safety, systems, and software teams to ensure perception solutions meet product requirements for safety, latency, resource usage, and software robustness, and are ready for deployment at scale.
- Strong programming skills in Python and/or C++, with experience building reliable, high-performance, production-quality software.
- We are seeking an exceptional Senior Perception Engineer to help design and productize NVIDIA's next-generation autonomous driving perception stack.
Requirements
- PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Proven experience in data-driven development, including close collaboration with data, labeling, and ground-truth teams on data strategy, labeling quality, and iterative model improvement.
- Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.
- Experience with CUDA development and optimizing training or inference pipelines through custom CUDA kernels or other GPU-accelerated components.
Compensation
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Benefits
- Experience designing and deploying perception solutions for autonomous driving or robotics using camera-based deep learning at scale.
- Strong publication record or recognized contributions in deep learning, computer vision, or autonomous systems at leading conferences/journals (e.g., CVPR, ICCV, NeurIPS, IROS).
- You will also be eligible for equity and benefits.
Equal opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
- equal opportunity employer.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.