The internship focuses on supporting product strategy and resource allocation for autonomous driving technologies, requiring strong analytical skills and experience in project evaluation and data modeling.
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.
About the Role
We are seeking a highly analytical and technically rigorous Technical Product Manager Intern to support autonomous driving product strategy, project approval governance, and resource allocation planning.
This role operates at the intersection of engineering execution and strategic decision-making. You will help structure how new projects are evaluated, prioritized, and resourced across multiple vehicle platforms and deployment regions.
This internship is ideal for candidates interested in technical product leadership in safety-critical, large-scale systems.
What You Will Do
- 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
- 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
- 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
- Support PRD drafting for autonomy features
- Analyze scope trade-offs (safety vs efficiency vs scalability)
- Support multi-platform roadmap alignment analysis
1.Validation & Deployment Strategy
2.Project Approval & Evaluation Framework
3.Resource Allocation & Capacity Modeling
4.Product & Roadmap Structuring
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.
WeRide.ai San Jose, California, USA Office
2630 Orchard Pkwy, San Jose, CA, United States, 95134
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