Senior Context Fusion AI Engineer for Autonomous Driving

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a strong engineer to join the DRIVE Road Structure / Online Mapping / Context Fusion team in Santa Clara. You will help build a complete, learned 3D/4D world model for L3/L4 autonomy, fusing navigation, ego-motion, perception, and sensor signals to create a robust, temporally consistent world representation.

You will design fusion architectures, develop multi-task models, and collaborate across perception, planning, and simulation teams to deploy production-quality AV systems.

Qualifications

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field, or equivalent experience.
• 8+ years of experience with at least 2+ years in AV/robotics and 2+ years in leadership.
• 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 sensors.
• Solid understanding of 3D geometry, calibration, synchronization, and uncertainty estimation.
• Experience with deep-learning methods for 3D perception, occupancy, motion prediction, or planning.
• Strong C++ and Python, hands-on PyTorch, CUDA, distributed training, and efficient GPU inference.

Responsibilities

• Design and develop learning-based, multimodal sensor-fusion systems for unified spatiotemporal world representation.
• Build architectures that fuse camera, LiDAR, radar, and vehicle-state inputs with calibration and synchronization.
• Develop end-to-end models producing driving-relevant outputs including road graph, semantics, and occupancy.
• Create scalable multimodal fusion architectures and temporal context integration.
• Develop training, fine-tuning, and evaluation pipelines for large-scale multimodal datasets.
• Investigate foundation-model approaches for autonomous driving and efficient deployment.
• Collaborate with perception, mapping, prediction, planning, simulation, data, and embedded teams.
• Develop analysis tools for model failures, cross-sensor issues, and closed-loop evaluation.

Skills

C++ programming

Python programming

PyTorch

CUDA

Transformer / VLM

Leadership

Distributed training

GPU inference optimization

Education

BS/MS/PhD in CS/Robotics/EE/ML

Equivalent experience

Tools

TensorRT

CUDA toolkit

PyTorch workflows

Job description

NVIDIA is seeking a strong engineer to join the DRIVE Road Structure / Online Mapping / Context Fusion team in Santa Clara. You will help build a complete, learned 3D/4D world model for L3/L4 autonomy, fusing navigation, ego-motion, perception, and sensor signals to create a robust, temporally consistent world representation.

You will design fusion architectures, develop multi-task models, and collaborate across perception, planning, and simulation teams to deploy production-quality AV systems.