Address
Form of workThe Planner Selection team is responsible for resolving ultimate questions that the planner is facing: out of the many candidates that upstream generate, which trajectory is the best in terms of the current cost sets? This supports the planning team to tackle the decision making and trajectory planning task such as:
- Design different categories of costs to describe ego trajectory's progress, comfort, safety, human likeness and other costs that can make ego pick the best trajectory in different driving scenarios.
- Help Identify issues when upstream candidate has headroom to improve;
- Survey industrial and literature advancements in motion planning and machine learning, leverage the technicals to improve the selection stack and beyond.
As a Tech Lead and manager, you will also
- Align on planner team objective with planner lead and design the key tasks and missions for the selection team;
- Own technical decisions and participate in important technical discussions that ensure the correct direction of technical advance in the planner team. Examples like code reviews, design reviews, technical discussions and so on;
- Design and implement shared infrastructure and tooling among the Behaviors teams. Identify opportunities to unify approaches and increase developer velocity.
- Identify opportunities to accelerate planner timing.
- Mentor junior members within but not limited to the foundation & eval team.
Qualification:
- 2+ years of related work/project experience.
- Masters or Ph.D. degree in area of Computer Science, Electrical and Computer Engineering or a related field with a focus in robotics, optimization, computational geometry, gaming, etc.
- Work experience in the autonomous driving industry is a plus
The expected salary range is $188,229 to $312,930+ 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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