Senior Sensor Fusion Engineer - Autonomous Vehicles

We are looking for a strong engineer in the DRIVE Road structure / Online mapping / Context Fusion team. In this role, you will help craft and guide the future of our autonomous driving solution for providing a complete 3D world model including fusing signals between map and perception. You will be working closely with our perception and planning teams in providing a world model that is complete and able to drive in the most challenging roads and intersections in the U.S and China. It is a very exciting role that provides a breadth of interesting areas and is central to our vision in AV. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!What You'll Be Doing: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.Enable L3 level autonomy in highway scenarios by creating accurate, reliable and safe models of the world from camera, lidar, radar perception and map signalsBuild 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.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 conditionsProduce code and designs following automotive quality and safety standards.What We Need To See:BS, MS, or PhD in Computer Science or related fields or equivalent experience8+ years of experience, with at least 2+ years in the AV or robotics industry.2+ years of experience technically leading areasPassion for robotics and autonomous vehiclesDrive to learn new things and tackle meaningful problemsOutstanding communication and cross-team collaboration especially with multinational teams across the globe.Independent and analytical software engineering skillsSoftware development experience on embedded or automotive platforms.Ways To Stand Out From The Crowd:Background in 3D computational geometry, computer vision, sensor fusion, localization, mapping, trajectory optimization or state estimation algorithms like Kalman filters, particle filtersSignificant industry experience in the AV area esp. self-driving cars.Experience developing real-time Computer Vision systems.Strong API and framework design skillsWe believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). 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 forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you!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.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until May 8, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.SummaryLocation: US, CA, Santa Clara; US, NV, Remote; US, WA, Redmond; US, WA, SeattleType: Full time