This role involves developing an online mapping system for self-driving cars that creates accurate 3D models of the driving environment using data from various sensors. The team focuses on both learned mapping through deep neural networks and geometry-based engineering in C++. The position requires collaboration with multiple teams to integrate mapping into the autonomous vehicle stack while ensuring real-time performance and safety. The successful candidate will contribute to the technical direction and architecture of the mapping system.

• MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent experience.
• 5+ years of industry or research experience in autonomous driving, robotics, or computer vision.
• Strong foundation in 3D geometry, including camera models and optimization.
• Strong C++ skills with experience in designing and shipping production-quality code.
• Hands-on experience training deep neural networks in PyTorch.

• Design, train, and improve PyTorch models for predicting online map elements from various sensors.
• Solve complex scenes involving intersection topology and traffic light understanding.
• Write production C++ code for geometry-based post-processing tasks.
• Apply multi-view geometry and sensor fusion to produce stable 3D maps.
• Lead the narrative around ground truth data and collaborate with partners to ensure high-quality datasets.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.