We are seeking a proactive Software Engineer to focus on engineering productivity improvement and intelligent workflow automation. This role will directly support the efficient mass production of Autonomous Driving System by building practical automation tools and AI-powered internal solutions. You will work closely with cross-functional teams to solve real-world engineering pain points, diagnose complex system issues, and drive reliable production delivery. We prioritize engineers who excel at combining software engineering, automation, and AI technologies to deliver tangible efficiency gains.
What will your job look like:
- Identify efficiency bottlenecks in the mass production of (Autonomous Driving System, including crowdsourced mapping algorithm model), design and develop tailored technical solutions to optimize the procedures such as issue diagnosis, workflow orchestration, and large-scale software deployment, by adopting traditional automation tool development or AI/ LLM/ Agent-based intelligent solutions.
- Participate in the investigation of some complex issues, continuously iterate the automation tools and AI-powered solutions based on real pain points and with a good sense of closed-loop efficiency improvement.
- Work closely with local algorithm R&D, validation, testing and global R&D teams to align business requirements, drive automation tool/ AI-powered solution adoption, and ensure reliable production delivery of AD systems together.
All you need is:
- Master’s degree in Computer Science, Software Engineering, or a related field.
- Strong programming skills in Python.
- Programming skills in at least one system language, C++, Rust or Java.
- In total 3-5 years’ working experience, with solid experience building software tools, automation solutions, back-end services, or AI-powered solutions.
- Strong analytical and problem-solving skills.
- Ability to collaborate effectively in cross-functional engineering environments.
- Fluent in both Mandarin and English (working-level proficiency).
Nice to have:
- Experience with LLMs, AI-assisted development tools, or agent frameworks would be a strong plus.
- Background in machine learning or algorithm development.