We are looking for the best
As a Maneuver planning engineer, you will contribute towards developing robust software systems by collaborating with experts in computer vision, localization, mechanical engineering, and other related disciplines. You will work with highly advanced motion planning techniques to safely operate 42dot’s autonomous vehicle in both the virtual and real worlds.
책임 (RESPONSIBILITIES)
- Improve driving behavior using various techniques such as machine learning, statistics, and general algorithms
- Design robust lane change systems under uncertainty
- Improve maneuver planning framework including yield, side pass and swerving
자격요건 (QUALIFICATIONS)
- +5 years of related experience
- MS/Ph.D. degree in robotics, mechatronics, or mechanical engineering (or equivalent industrial experience)
- Solid knowledge and proven track record in vehicle dynamics
- Hands-on experience with safety-critical applications and hard real-time constraints
- Strong mathematics (geometry, analysis, probability, optimization), physics (kinematics, dynamics), and analytical skills
- Strong programming skills (C/C ++, Python, etc.)
우대사항 (PREFERRED QUALIFICATIONS)
- Hands-on experience with autonomous driving system or related projects
- Hands-on experience with Linux or embedded Linux system
- Practical knowledge of robotic path planning, motion planning algorithms (A*, sampling-based motion planners, lattice-based motion planners, model predictive control)
- Experience with source control management, build processes, code reviews, and testing methods
- Experience with multiple sensors (GNSS, IMU, LIDAR, camera, radar, etc.)
전형 절차 (INTERVIEW PROCESS)