Staff/Sr. Staff Software Engineer – Planning/Path Reasoning at DiDi Labs

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

355680.0

Posted On

23 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, Decision-Making, Agent Modeling, World Modeling, Planning, Motion Planning, Behavior Planning, Agent Reaction, Reasoning Under Uncertainty, POMDPs, Reinforcement Learning, Game Theory, Technical Leadership, Mentoring

Industry

IT Services and IT Consulting

Description

About the Company DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet. About the Role We are seeking a Staff or Senior Staff Software Engineer to lead the development of the strategic intelligence for our autonomous vehicles. You will define the algorithms for high-level reasoning, decision-making, and interaction-aware planning in complex environments. Responsibilities Architect the geometric reasoning system for long-horizon planning and multi-agent interactions, resolving dense urban stuck situation and make vehicle drive with both efficiency and safety. Lead development of decision-making algorithms for ambiguous scenarios. Drive the integration of prediction and planning to enable proactive behaviors. Establish metrics and validation frameworks for decision quality and safety. Provide technical leadership and mentor junior & senior engineers within the team. Qualifications M.S. or Ph.D. in CS, Robotics, or related field. 5+ years of experience in autonomous systems, focusing on decision-making, agent & world modeling and planning. Expert proficiency in C++/Python and experience as a technical lead. Deep expertise in motion planning decision-making (behavior planning, world modeling, agent reaction & reasoning under uncertainty). Background in POMDPs, reinforcement learning, or game theory is a bonus. Preferred Qualifications Experience in leading a decision-making team in a commercial AV program. Publications in robotics/AI conferences on decision-making or planning. Experience with simulation frameworks for policy and behavior validation. The base salary range for this full-time position is $178,286-$355,680 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

Responsibilities

The role involves architecting the geometric reasoning system for long-horizon planning and multi-agent interactions, as well as leading the development of decision-making algorithms. The engineer will also drive the integration of prediction and planning to enable proactive behaviors.