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.

What you need

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.

Nice to have

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/

About WeRide.ai

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.

Read the job posting on the WeRide.ai site

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Source: the WeRide.ai Lever job board. We last checked this job 13 h ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

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WeRide.ai

Open tech jobs: 10
With posted pay: 70%
Median posted base: $130K–$182K

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