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WeRide.ai

Posted 3 months ago

Open

New Grads 2026 - General Software Engineer (Beijing/Guangzhou/Shanghai, China)

ChinaOn-siteFull-time

AI Summary

New graduate software engineer role building real-time in-vehicle systems, high-performance data transport, and logging infrastructure for autonomous vehicles; also develops cloud/back-end services and ML tooling.

About this role

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

    • Skills

    C++DatabaseDistributed SystemsGOGPU/CPU KernelsJavaMachine LearningOS KernelPythonReal-time Systems

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