Description
The role develops L2-level longitudinal and lateral planning and control algorithms for ACC, LKA, and TJA functions, with a focus on ride comfort, safety-comfort trade-offs, AI-based strategy optimization, ISO 26262 functional safety, and simulation-to-real-vehicle evaluation. Candidates should have a relevant degree, at least two years of L2 ADAS planning and control development experience, strong C++/Python and embedded Linux skills, and familiarity with planning and control algorithms such as PID, MPC, LQR, pure-pursuit, Lattice Planner, or dynamic/second-order programming.
