New Grads 2026 - General Software Engineer

San JoseFull-timemid

OtherNew Grads

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Overview

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4.

Technical Tools

OtherNew Grads

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days.

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.

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 between December 2025 and June 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.

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