端到端规控算法科学家
Core
Research and develop end-to-end planning and control algorithms for autonomous driving, focusing on trajectory planning, motion control, and driving policy learning directly from sensor inputs.
Role type
Senior IC end-to-end planning and control algorithm scientist
Builds
Real-time vehicle decision-making systems integrating perception, prediction, and planning/control modules for complex urban scenarios
Domain
Autonomous driving / Robotics
Deliverable
production ML models
Required skills
Trajectory planning, Motion control, Control theory, Optimization methods (MPC, numerical optimization), Reinforcement learning, Imitation learning, End-to-end driving models, Planning-control integration, Behavioral cloning, Python, PyTorch, TensorFlow
Preferred skills
CARLA, nuPlan, Simulation platforms, Top-tier conference publications (CVPR, ICCV, ECCV, NeurIPS, ICRA, CoRL), Mass-production project experience
Technologies
PyTorch, TensorFlow, CARLA, nuPlan
Responsibilities
Design and optimize integrated E2E frameworks for real-time vehicle decision-making, Develop trajectory optimization and path generation strategies for complex urban environments, Collaborate with perception and prediction teams to ensure seamless module integration, Work with global Bosch units on technology transfer and concept evaluation
Seniority
Mid-level IC (1-3 years experience)