AI Planner 算法工程师_XC
Core
Design and develop planning and control algorithms for L2 ADAS features (ACC, LKA, TJA) to optimize driving comfort and safety.
Role type
Senior IC autonomous driving planning and control engineer
Builds
L2 ADAS features including adaptive cruise control, lane keeping assist, and traffic jam assist
Domain
Automotive / Autonomous Driving
Deliverable
production ML models | product features
Required skills
C++, Python, Linux, embedded systems, PID, MPC, LQR, pure pursuit control, lattice planner, dynamic programming, quadratic programming
Preferred skills
imitation learning, reinforcement learning, lightweight end-to-end models, functional safety (ISO 26262), ASIL analysis, FMEA, data-driven debugging
Technologies
Infineon, NXP, TI TDA4, Horizon Journey
Responsibilities
Design planning and control strategies for ACC, LKA, and TJA; Optimize driving comfort by suppressing jerk and smoothing cornering/starting/stopping; Integrate AI methods like imitation learning and reinforcement learning to reduce mechanical feel; Balance comfort with safety constraints to minimize false triggers; Design redundancy and monitoring mechanisms per ISO 26262; Build automated evaluation systems using road data for iteration
Seniority
Senior, hands-on IC