Salary
💰 $148,000 - $287,500 per year
About the role
- Help craft and guide the future of our autonomous driving solution providing a complete 3D world model including fusing signals between map and perception
- Work closely with perception and planning teams to provide a world model able to drive in challenging roads and intersections in the U.S and China
- Develop core functionality for autonomous driving in all geographies based on the fusion of SOTA perception DNN and map signals
- Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources
- Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world
- Build fused static obstacles and occupancy grids and build occlusion masks to enrich AV scenarios
- Be a technology leader by providing the team guidance on approaches to be taken to solve the hardest of AV problems
- Be a hands-on collaborator with the team
- Hiring and mentoring strong engineers within the team
- Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions
- Produce code and designs following automotive quality and safety standards.
Requirements
- BS, MS, or PhD in Computer Science or related fields or equivalent experience
- 5+ years of experience, with at least 2+ years in the AV or robotics industry
- 2+ years of experience technically leading areas
- Passion for robotics and autonomous vehicles
- Drive to learn new things and tackle meaningful problems
- Outstanding communication and cross-team collaboration especially with multinational teams across the globe
- Independent and analytical software engineering skills
- Software development experience on embedded or automotive platforms
- Background in 3D geometry, computer vision, sensor calibration, or state estimation algorithms like Kalman filters, particle filters (ways to stand out)
- Significant industry experience in the AV area esp. self-driving cars (ways to stand out)
- Experience developing real-time Computer Vision systems (ways to stand out)
- Strong API and framework design skills (ways to stand out)