NVIDIA
Autonomous Vehicles
SeniorSensorFusionEngineerAutonomousVehicles
“Senior Sensor Fusion Engineer - Autonomous Vehicles at NVIDIA. Skills: Sensor Fusion, Autonomous Vehicles, 3D world model, perception DNN, map signals, BEV models, real-time systems, Computer Vision. 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”
What You'll Achieve.
providing a complete 3D world model including fusing signals between map and perception; providing a world model that is complete and able to drive in the most challenging roads and intersections in the U. S and China; building self-driving vehicles will be a defining contribution of our generation
Industry & Context.
Independent and analytical software engineering skills; solve the hardest of AV problems
What They're Looking For.
Must Have
BS, MS, or PhD in Computer Science or related fields or equivalent experience, 8+ years of experience, 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
Nice to Have
Background in 3D computational geometry, computer vision, sensor fusion, localization, mapping, trajectory optimization or state estimation algorithms like Kalman filters, particle filters, Significant industry experience in the AV area esp. self-driving cars, Experience developing real-time Computer Vision systems, API and framework design skills
What You'll Do.
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
radar perception and map signals
Build fused static obstacles and occupancy grids and build occlusion masks to enrich AV scenarios
Provide the team guidance on approaches to be taken to solve the hardest of AV problems
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
How You'll Work.
Team & Collaboration
working closely with our perception and planning teams; hands-on collaborator with the team; cross-team collaboration especially with multinational teams across the globe
Communication Scope
Outstanding communication and cross-team collaboration especially with multinational teams across the globe
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