What You May Work On:
- AI
- Develop and deploy cutting-edge perception and deep learning models, including computer vision, vision-language, and large language models (VLMs/LLMs), for real-time autonomous driving applications
- Design models that forecast the behaviors and intentions of surrounding vehicles, pedestrians, and other dynamic agents, enabling safer driving decisions
- Robotics
- Explore algorithms for vehicle localization and environment representation, leveraging maps, onboard sensors, and learning-based methods to ensure reliable positioning in diverse conditions
- Contribute to motion planning and decision-making modules that support safe, efficient, and human-like driving behaviors, as well as robust vehicle control algorithms
- Simulation Core
- Build simulation platforms with realistic sensor modeling and 3D environment reconstruction to accelerate the validation and development of autonomous driving technologies
- Develop high-fidelity simulation scenarios, realistic agent behaviors that interact with AV algorithms, and AI-driven methodologies for simulation evaluation
Qualifications:
- MS/PhD degree in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation or equivalent practical experience, with an expected graduation date before December 2026.
- Proficient in C++ and/or Python with knowledge of its latest features.
- Strong analytical and problem-solving skills.
- Excellent communication, and cross-functional team collaboration abilities.
- Passion for innovation in the autonomous vehicle industry.
Bonus Points:
- Published research presented at leading machine learning or robotics conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.
- Proficient in machine learning frameworks, such as TensorFlow or PyTorch.
- Experience with Large Language Models (LLM) or Vision Language Models (VLM).
- Experience in open-source competitions or challenges related to autonomous driving.
Skills Required
- MS/PhD in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation or equivalent practical experience, graduating before December 2026
- Proficient in C++ and/or Python with knowledge of latest language features
- Strong analytical and problem-solving skills
- Excellent communication and cross-functional team collaboration abilities
- Passion for innovation in the autonomous vehicle industry
- Published research at leading ML/robotics conferences (NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, ICRA)
- Proficient in machine learning frameworks such as TensorFlow or PyTorch
- Experience with Large Language Models (LLM) or Vision Language Models (VLM)
- Experience in open-source competitions or autonomous driving challenges
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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