New Grads 2026 - General Software Engineer (Beijing/Guangzhou/Shanghai, China)
WeRide.ai · On-site
MeritLog read this listing from WeRide.ai's Lever job board and last checked it on September 12, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- China
- Company website
- www.weride.ai
Hiring context
How this role compares at WeRide.ai
WeRide.ai has 18 live roles in MeritLog’s catalog across 4 job families, and 11 of them are in engineering. 4 of those listings publish a pay range, a disclosure rate of 22%.
WeRide.ai concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd 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.
What they're asking for
- 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.Education
- Proficient in C++ and/or Python, Java, Go with knowledge of its latest features.Skill
- Have good programming practices, adhere to coding standards, and follow test-driven development.Skill
- Strong analytical and problem-solving skills.Skill
- Excellent communication, and cross-functional team collaboration abilities.Skill
- Passion for innovation in the autonomous vehicle industry.Skill
- Experience with field robotics and systems designSkillPreferred
- Experience with distributed systems, possesses design and debugging skills for complex system software, familiar with common design patterns and architectural trade-offsSkillPreferred
- Familiar with OS kernel and low-level system and computer architecture understandingSkillPreferred
- Familiar with GPU architectureSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work. This NG position is based in Beijing, Guangzhou, or Shanghai, China. 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 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 an online assessment, a call with a recruiter, and 3-4 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! More about WeRide: https://www.weride.ai/
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