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
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
Skills 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
WeRide.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WeRide.ai and has not been reviewed or approved by WeRide.ai.
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Affordable Benefits — Medical, dental, and vision are described as company‑paid for U.S. roles, often extending to dependents. Employer-paid premiums minimize out‑of‑pocket costs.
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Wellbeing & Lifestyle Benefits — Free daily hot breakfast, lunch, and dinner are prominently offered. Everyday meal perks enhance on‑site convenience and overall experience.
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Equity Value & Accessibility — An employee stock plan and equity eligibility are included in U.S. offers. Access to ownership can augment total compensation for many roles.
WeRide.ai Insights
What We Do
WeRide is a global leading company that develops Level 4 autonomous driving technologies, bringing smart cities with new products, new business model and new experience. WeRide has received strategic investments from top-tier global automakers, including Renault-Nissan-Mitsubishi Alliance and Yutong Group. WeRide is the first startup in the world that holds driverless test permits in both China and the US. Through strategic alliances with car makers, mobility and logistics service platforms, WeRide offers an all-rounded product mix of Robotaxi, Mini Robobus and Robovan to provide multiple services including online ride-hailing, on-demand transport and urban logistics. WeRide launched China’s first Robotaxi service, completely open to public, in November 2019, in Guangzhou, China, covering an area of 144 square kilometers. WeRide has also conducted commercial pilot operations and fully driverless testing for Mini Robobus and Robovan. Established in 2017, WeRide is headquartered in Guangzhou, China, and maintains R&D and operation centers in Beijing, Shanghai, Shenzhen, Nanjing, Wuhan, Zhengzhou and Anqing, as well as San Jose in the US. It employs a highly skilled team of over 800 employees around the globe and has extensive domestic and international experience in R&D, business development and operations.
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