---
title: "Motion Planning Engineer (PhD, Intern)"
company: "DiDi Labs"
company_url: "https://www.remjobs.works/companies/didi-labs"
url: "https://www.remjobs.works/job/didi-labs-motion-planning-engineer-phd-intern-6b88bc83-3667-4a11-b7ac-53cba09ca641"
apply_url: "https://job-boards.greenhouse.io/didi/jobs/8198303"
workplace: onsite
location: "San Jose, CA"
employment_type: unspecified
seniority: internship
role: software-engineering
region: united-states
skills: ["cpp"]
date_posted: 2026-09-12T00:46:41.000Z
first_seen_by_remjobs: 2026-09-15T18:15:35.133Z
---

# Motion Planning Engineer (PhD, Intern)

**DiDi Labs** · San Jose, CA

Apply: https://job-boards.greenhouse.io/didi/jobs/8198303

## About the role

**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 motivated PhD graduate with a strong research background in motion planning, robotics, or autonomous systems. In this role, you will apply your expertise in algorithm design and system integration to help develop next-generation planning capabilities for autonomous vehicles.

**Responsibilities
**

- Implement novel solutions for Behavioral Planning, enabling high-level decision-making for lane changes, merges, yields, and multi-agent interactions.

- Design and optimize motion planning algorithms that integrate geometry-based path reasoning and context-aware speed reasoning into smooth, safe trajectories.

- Develop and improve core geometry and velocity planning systems to ensure feasibility, compliance, and comfort across diverse driving scenarios.

- Model complex driving environments and agent behaviors to create a robust world representation for planning under uncertainty.

- Formulate cost functions and optimization frameworks that balance safety, comfort, and efficiency in trajectory selection.

- Analyze, test, and debug system performance through simulation and real-world data, conducting root-cause investigations and proposing enhancements.

- Collaborate with researchers and engineers across Perception, Prediction, and Control to ensure an integrated, reliable autonomy stack.

**Qualifications
**

- Recently completed or soon-to-complete PhD in Robotics, Computer Science, Electrical Engineering, or a related field.

- Research or Internship experience in one or more of the following:

- Motion planning algorithms (optimization, sampling, graph/search-based methods)

- Behavioral planning and decision-making under uncertainty

- Trajectory optimization and control

- Multi-agent interaction modeling

- Proven research ability demonstrated by publications in top-tier conferences (e.g., RSS, ICRA, IROS, CVPR, NeurIPS, CoRL).

- Hands-on experience in C++ for implementing complex, real-time algorithms.

- Excellent analytical and communication skills, with a collaborative mindset.

- For Internship Applicants: This role offers a clear pathway, with top-performing interns receiving the opportunity to convert to a full-time engineer upon successful completion of the program.

The hourly rate for the Intern position in the selected city is $46. Interns will also be eligible for Intern benefits.

Applications are accepted on an ongoing basis. This posting is for an existing vacancy.

*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](https://v.didi.cn/AQnxlBa)*

---

Source: DiDi Labs's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/didi-labs-motion-planning-engineer-phd-intern-6b88bc83-3667-4a11-b7ac-53cba09ca641