AV Junior Engineer: Path Planning

Why Aidoptation? At Aidoptation, we work on the hardest problems in autonomous driving: high-speed, safety-critical scenarios where precision and robustness matter. Our technology is proven at racing speeds and translated into real-world highway autonomy. To succeed, we recruit the best engineers globally. We receive a high volume of applications and referrals and select for excellence and commitment alongside deep technical competence. Role Description In this role you will contribute to the development of trajectory planning components for highway scenarios, including maneuvers such as lane keeping, lane changes, and obstacle avoidance. You will work on planners that remain robust under imperfect perception, localization uncertainty, and system latency, while maintaining explicit safety margins. You will help implement real-time planning algorithms, such as sampling-based, optimization-based, or lattice-style methods, with attention to compute constraints. The role also involves supporting validation through scenario suites, KPIs, and regression testing using simulation and recorded vehicle data. You will collaborate closely with vehicle dynamics and control teams to ensure generated trajectories are feasible, smooth, and safe at highway speeds. The role includes participation in on-vehicle testing, edge-case analysis, and rapid iteration to improve system performance. Success in this role means contributing measurable improvements in core scenarios and increasing robustness under real-world conditions. Occasional travel may be required depending on test campaigns.