The role involves joining the DRIVE Road Structure / Online Mapping / Context Fusion team to develop advanced multimodal sensor-fusion systems for L3/L4 autonomous driving solutions. The engineer will work on creating a comprehensive 3D/4D world model that integrates various sensor signals and navigation data. This position is critical for enhancing road understanding and supporting autonomous vehicle functionalities. Candidates should be passionate about innovating AI for navigation in complex environments.

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field, or equivalent experience.
• 8+ years of experience, with at least 2+ years in the AV or robotics industry and 2+ years of leadership experience.
• Strong experience developing production-quality sensor-fusion, perception, state-estimation, or autonomous-driving systems.
• Demonstrated experience with learning-based multimodal perception or fusion involving multiple sensor types.
• Solid understanding of 3D geometry, coordinate frames, calibration, and uncertainty estimation.
• Strong C++ and Python programming skills, with experience in developing deep-learning models in PyTorch.
• Experience with Transformer, VLM, or multimodal foundation-model architectures.
• Experience training and evaluating models at scale.

• Design and develop learning-based multimodal sensor-fusion systems for unified world representation.
• Build architectures that integrate various sensor inputs while managing calibration and synchronization.
• Develop end-to-end models that produce driving-relevant outputs from a shared scene representation.
• Create training and evaluation pipelines for large-scale multimodal datasets.
• Investigate foundation-model approaches for autonomous driving.
• Collaborate with cross-functional teams to convert research advances into production-quality systems.
• Develop analysis and debugging tools for model failures and performance issues.

• 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.