- MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of relevant proven industry experience applying machine learning to address real-world problems.
- Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.
- Deep practical experience applying machine learning to lidar/camera perception and multi-sensor fusion in automotive or related fields.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of the mathematical foundations of ML.
- Building and sustaining training and essential metric workflows for large-scale datasets.
- Excellent communication and analytical skills. Self-motivated drive to solve hard problems.
Ways to Stand Out From the Crowd
- Multi-sensor fusion, LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera and Multi-Sensor Fusion in a production environment.
- Advanced Model Knowledge: Familiarity with modern network architectures like Transformers and their application to visual recognition tasks.
- AV Production Experience: A history of delivering ML features and models into a production autonomous vehicle stack or a related robotics product.
- Performance Optimization: Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT).
We believe that realizing self-driving vehicles will be a defining contribution of our generation (e.g., traffic accidents are responsible for ~1.25 million deaths per year worldwide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most brilliant and talented people in the world working here. If you're creative and autonomous, we want to hear from you!
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.