2027AIDU-端到端系统架构师(J99978)
Core
Design and train end-to-end models to solve autonomous driving problems at scale, focusing on planning and reasoning capabilities.
Role type
Senior IC end-to-end system architect (autonomous driving)
Builds
End-to-end autonomous driving systems
Domain
Autonomous driving, robotics, control theory
Deliverable
production ML models
Required skills
Deep Reinforcement Learning, Imitation Learning, Sequence Decision Making (POMDP), PyTorch, Python, C++, Linux, Classical Decision Planning Algorithms, Vehicle Dynamics Modeling
Preferred skills
Multi-agent systems, Game Theory, Bayesian Networks, Top-tier conference publications (CoRL, ICRA, IROS), Open-source project contributions (Apollo, Autoware), Robot path planning experience
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