Senior AI Researcher, End-to-End Autonomous Systems
Core
Lead research and development of large-scale AI models enabling autonomous systems to perceive, reason, predict, plan, and interact with the physical world using unified end-to-end learning frameworks.
Role type
Senior AI Researcher (End-to-End Autonomous Systems)
Builds
Next-generation autonomy platform for autonomous driving using large-scale real-world driving data.
Domain
Automotive / Autonomous Driving / AI Research
Deliverable
production ML models
Required skills
Foundation Models for physical-world intelligence, Vision Language Models (VLMs), Vision-Language-Action Models (VLAs), World Models, Generative AI, Diffusion Models, neural environment modeling, reinforcement learning, self-supervised learning, large-scale distributed training, C++, Python, PyTorch, TensorFlow, TensorRT, real-time robotic system deployment, peer-reviewed publication
Preferred skills
Intelligent mobility, smart cities, computer science, math/statistics, civil/transportation, relational/NoSQL databases, cloud platforms (AWS, Flow), patent filing
Technologies
C++, Python, PyTorch, TensorFlow, TensorRT, Postgresql, mongodb, AWS, Flow
Responsibilities
Design and evolve large-scale autonomy data flywheels, formulate research roadmaps from literature review to real-world vehicle deployment, perform systematic evaluations using latest sensors and compute hardware, present research findings to executives, translate breakthroughs into patents and conference papers, mentor junior researchers
Seniority
Senior, hands-on IC with research leadership
