Senior Context Fusion AI Engineer - Autonomous Vehicles

What you'll do

• Design and build sensor-fusion models that jointly process camera, LiDAR, radar, vehicle-state, and navigation inputs.
• Develop shared scene representations and driving outputs, including road structure, semantics, occupancy, and free space.
• Create large-scale training and evaluation pipelines, analyze model failures, and collaborate across teams to deploy robust AV systems.

What they ask for

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field, or equivalent experience.
• 8+ years of experience, including at least 2+ years in the AV or robotics industry and 2+ years of leadership experience.
• Production-quality sensor-fusion, perception, state-estimation, or autonomous-driving systems experience; learning-based multimodal fusion involving two or more named sensor or context sources.
• Strong C++ and Python skills and hands-on deep-learning model development, training, and optimization in PyTorch.

Nice to have

• Experience with Transformer, VLM, or multimodal foundation-model architectures.
• Experience with BEV, point-cloud/voxel, neural scene representation, 3D reconstruction, occupancy-flow, or spatiotemporal world-model methods.

Pay

184,000 USD - 287,500 USD (base salary) for Level 4; 224,000 USD - 356,500 USD (base salary) for Level 5

Tools

C++, Python, PyTorch, CUDA, Transformer, VLM, TensorRT, BEV

AI focus

Learning-based multimodal sensor fusion and foundation-model approaches for autonomous driving, including shared 3D/4D world models, perception, occupancy, prediction, and planning.