- Santa Clara, California, United States
- Senior
- $184K–$357K per year
- 5+ years
Design, train, and improve PyTorch models that predict online map elements from camera, LiDAR, and/or radar, and write production C++ for geometry-based post-processing to support autonomous driving systems.
Compensation
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.
Responsibilities
- Design, train, and improve PyTorch models for online map elements
- Write production C++ for geometry-based post-processing
- Apply multi-view geometry, calibration, coordinate transforms, and sensor fusion to produce 3D maps
- Optimize and deploy models alongside algorithms on NVIDIA DRIVE Orin and Thor
- Lead the narrative around GT and the data loop by planning datasets and defining GT and labeling requirements
Requirements
- MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related field
- Nice to have: DNN-based online or HD map generation
- Nice to have: BEV perception
- Nice to have: vectorized map prediction
- Nice to have: lane topology learning