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As a Motion Planning System Engineer, you will research motion planning algorithms to tackle the most challenging problems in autonomous driving. 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.

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Ã¥ÀÓ (RESPONSIBILITIES)

  • Develop motion planning algorithms for autonomous driving technology in the following topics(Speed planning under uncertainty, Trajectory optimization)

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ÀÚ°Ý¿ä°Ç (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.)

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  • °­·ÂÇÑ ÇÁ·Î±×·¡¹Ö ±â¼ú(C/C++, Python µî)

¿ì´ë»çÇ× (PREFERRED QUALIFICATIONS)

  • Hands-on experience with autonomous driving systems or related projects
  • Hands-on experience with Linux or embedded Linux system
  • Practical knowledge of robotic path planning, and motion planning algorithms (A*, sampling-based motion planners, optimization-based motion planners, linear and nonlinear MPC)
  • Experience with source control management, build processes, code reviews, and testing methods experience with multiple sensors (GNSS, IMU, LIDAR, camera, radar, etc.)

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  • ´Ù¾çÇÑ ¼¾¼­(GNSS, IMU, LIDAR, Ä«¸Þ¶ó, ·¹ÀÌ´õ µî) »ç¿ë °æÇè

ÀüÇü ÀýÂ÷ (INTERVIEW PROCESS)

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