WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible.

What You Will Do

1.Validation & Deployment Strategy

Assist in deployment feasibility analysis across different cities
Support validation and release decision frameworks
Analyze test data and support measurable success criteria definition
Help translate existing mileage-based statistical validation models into usable internal tools or interfaces
Improve usability and workflow efficiency of validation-related methodologies

2.Project Approval & Evaluation Framework

Support structuring the project intake and approval process
Help define evaluation dimensions (e.g., roadmap alignment, ODD complexity, scalability, strategic value, revenue impact)
Assist in building structured project evaluation templates
Analyze trade-offs between exploratory, strategic, and revenue-driven projects
Prepare executive-level summaries to support go / no-go decisions

3.Resource Allocation & Capacity Modeling

Support development of structured resource allocation models (e.g., run vs growth buckets)
Analyze engineering capacity across platforms and programs
Assist in modeling effort allocation across vehicle generations and deployments
Evaluate resource impact of new projects under constrained capacity
Help quantify opportunity cost and prioritization implications

4.Product & Roadmap Structuring

Support PRD drafting for autonomy features
Analyze scope trade-offs (safety vs efficiency vs scalability)
Support multi-platform roadmap alignment analysis

What You’ll Gain

Hands-on experience working in a leading AI-driven autonomous systems company
Direct exposure to how AI technologies are developed, validated, and productized in real-world deployments
Practical understanding of resource management and prioritization in a fast-scaling deep-tech organization
Insight into how large-scale engineering programs are structured under real-world constraints
Mentorship in technical strategy and systems-level thinking

Qualifications Required

Pursuing a Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, Applied Mathematics, Industrial Engineering, or related technical field
Strong analytical and structured thinking skills
Ability to decompose ambiguous problems into measurable dimensions
Strong written and communication skills in Mandarin.

Preferred

Exposure to product management, TPM, or technical strategy
Experience with data modeling (Excel / Python preferred)
Interest in autonomous driving, robotics, or large-scale systems
Familiarity with capacity planning is a plus

What Happens Next:

We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include a call with a recruiter and 3 interviews with your future colleagues to better inform our decision.

During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process.

We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today!

At WeRide, interns collaborate with industry leaders on impactful projects that drive meaningful results for the company. You'll apply your knowledge while gaining opportunities to expand your skill set. Our 12-week/ 3-month internship program begins in May or June 2026. Successful candidates must be available to work in the office five days a week. Interns will receive 1-on-1 mentorship, hands-on training, and engage in fun team-building activities as well as interactive workshops, enhancing both professional and personal growth.