We are currently looking for experienced planning engineers to join our Mountain View office to develop algorithms and pipelines for DiDi’s autonomous driving projects. This position involves researching, developing & engineering of state-of-the-art behavioral reasoning, decision making & motion planning algorithms for self-driving vehicles. These algorithms will be applied on our autonomous vehicles, and further deployed in DiDi’s ride-sharing network.

Responsibilities:

• Research and prototype state-of-the-art behavioral reasoning, decision making & motion planning algorithms for autonomous passenger vehicles.
• Develop path planning algorithms for autonomous driving, including but not limited to search based methods, sampling based methods, and optimization based methods.
• Design and implement robust and scalable code that enables rapid prototype and evaluation of different motion planning algorithms.
• Research and survey the current trends in robotics.

Qualifications:

• Master or PhD’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Robotics or related disciplines.
• Solid programming and high working proficiency in C++ and/or Python. Experience with production environments including unit testing, performance optimization, code review, etc.
• Basic knowledge of vehicle kinematics and dynamics.
• Outstanding knowledge of path planning techniques such as A*, hybrid A*, D*, etc.
• Exceptional experience with trajectory optimization techniques and demonstrated math skills including geometry, linear algebra, matrix theory, etc.
• 3 years of related working experience in robotics and motion planning.
• Strong written & verbal communication skills and a strong desire to be a part of a highly collaborative and rapidly growing team.

Preferred:

• Ph.D. degree in area of Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Robotics or related disciplines.
• Work experience in motion planning for self-driving vehicles is a plus.
• Experience working with ROS to design and build autonomous driving systems.
• Solid knowledge of decision making, and optimal control is a plus.

The expected salary range is $129,189 to $355,680+ bonus + equity + benefits. Actual starting pay will be based on job-related factors, including exact work location, experience, training, and skill level, so may be higher or lower than what is shown on this posting. This job may be also eligible for additional discretionary bonuses and equities.

About the Company:

Didi Chuxing (“DiDi”) is the world’s leading mobile transportation platform. We’re committed to working with communities and partners to solve the world’s transportation, environmental, and employment challenges by using big data-driven deep-learning algorithms that optimize resource allocation.

Didi Chuxing’s Autonomous-Driving team was established in 2016, and has grown to a comprehensive research and development organization covering HD mapping, perception, behavior prediction, planning and control, infrastructure and simulation, labeling, hardware, mechanical, problem diagnosis, vehicle modifications, connected car, and security, among others. We’re developing and testing self-driving vehicles in China and the United States.

In August 2019, DiDi upgraded its autonomous driving unit to an independent company to focus on R&D, product application, and business development related to self-driving technologies. The new company will integrate the resources and technology of DiDi’s platform, continue to increase investment in R&D, and deepen collaboration with auto industry partners.

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