2026 Technical Product Manager Intern

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.  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. country: US all locations: [San Jose, CA] commitment: Intern department: location: San Jose, CA team: Systems 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