What you will do:
- Build real-time, in-vehicle systems that ensure the AV operates safely and efficiently in its environment.
- Develop a high-performance, highly reliable data transport framework, and enhance the logging infrastructure to support robust data collection.
- Develop a real-time communication service framework between embedded devices and the host computer, enhancing the real-time troubleshooting capabilities of the in-vehicle system.
- Develop cloud-based and backend systems that support the AV fleet, as well as create intelligent tools for our developers.
- Design and develop new features to continuously optimize computational performance, and create tools to assist other teams by proactively informing developers of potential performance issues.
- Build services and infrastructure bridging machine learning and distributed systems, while evaluating database-related changes submitted by other engineers or community contributors.
- Work closely with other engineering teams and business groups to develop comprehensive end-to-end solutions.
- Optimize for efficient model deployment, enhance the machine learning workflow, and build and support large-scale model evaluation systems.
- Develop high-performance GPU/CPU kernels by utilizing low-level hardware features and knowledge of performance characteristics.
- Build a model conversion, evaluation, and management system.
- Develop and sustain scalable and high-performance infrastructure for training, optimizing, and deploying machine learning models.
- Work with multiple algorithm teams and optimize efficient algorithms for self-driving vehicles.
Qualifications:
- Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, or a related technical field, or equivalent practical experience, with an expected graduation date before December 2026.
- Proficient in C++ and/or Python, Java, Go with knowledge of its latest features.
- Have good programming practices, adhere to coding standards, and follow test-driven development.
- Strong analytical and problem-solving skills.
- Excellent communication, and cross-functional team collaboration abilities.
- Passion for innovation in the autonomous vehicle industry.
Bonus Points:
- Experience with field robotics and systems design
- Experience with distributed systems, possesses design and debugging skills for complex system software, familiar with common design patterns and architectural trade-offs
- Familiar with OS kernel and low-level system and computer architecture understanding
- Familiar with GPU architecture
Skills Required
- Pursuing BS/MS in Computer Science, Software Engineering, Mathematics, or related field; expected graduation before December 2026
- Proficient in C++ and/or Python, Java, Go
- Adhere to good programming practices, coding standards, and test-driven development
- Strong analytical and problem-solving skills
- Excellent communication and cross-functional team collaboration abilities
- Passion for innovation in the autonomous vehicle industry
- Experience with field robotics and systems design
- Experience with distributed systems, design and debugging of complex system software
- Familiarity with OS kernel and low-level system and computer architecture
- Familiarity with GPU architecture
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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