Senior Context Fusion AI Engineer - Autonomous Vehicles
Core
Building a complete, learned 3D/4D world model that fuses navigation, ego-motion, perception, and sensor signals for L3/L4 autonomous driving.
Role type
Senior IC machine-learning engineer (autonomous vehicles)
Builds
A shared multimodal scene representation supporting road understanding, 3D object/occupancy perception, motion prediction, and route-conditioned planning.
Domain
Autonomous vehicles / Robotics / Computer Vision
Deliverable
production ML models
Required skills
Multimodal sensor fusion, Transformer architectures, BEV representations, 3D geometry and coordinate transforms, Deep learning (PyTorch, CUDA), Distributed training, Uncertainty estimation, C++ and Python programming, Model optimization for edge deployment
Preferred skills
Vision-language models (VLM), Foundation models, Neural scene representation, 3D reconstruction, TensorRT, NVIDIA hardware expertise
Responsibilities
Design and develop learning-based, multimodal sensor-fusion systems; Build architectures that jointly reason over camera, LiDAR, radar, and vehicle-state inputs; Develop end-to-end and multi-task models producing driving-relevant outputs; Create training, fine-tuning, and evaluation pipelines for large-scale multimodal datasets; Investigate foundation-model approaches for autonomous driving; Work closely with perception, mapping, prediction, planning, simulation, data, and embedded-software teams; Develop systematic analysis and debugging tools for model failures.
Seniority
Senior, hands-on IC with leadership experience
