Research Scientist, Learnable Planner
Core
Designing and executing a research agenda for deep-learning based motion planning to enable safe, scalable self-driving trucks.
Role type
Research Scientist, Learnable Planner
Builds
Core motion planning module for autonomous trucks
Domain
Autonomous transportation / Robotics / Machine Learning
Deliverable
production ML models
Required skills
deep-learning based motion planning, imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making, Python
Preferred skills
Pytorch, Rust, C++, CUDA, self-driving technology deployment
Technologies
Pytorch, Rust, C++, CUDA
Responsibilities
Design and execute research agenda for deep-learning based motion planning, Leverage state-of-the-art in robotics and machine learning, Support deploying solutions to production systems, Stay up-to-date and advance beyond state-of-the-art in AI and self-driving technologies, Champion engineering excellence, Submit and publish work at top conferences
Seniority
Mid-Senior, hands-on IC with research output