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# Software Engineer

- **Company:** Microsoft
- **Location:** New Pekin, IN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Algorithm Design, C++ (Programming Language), Computer Programming, Python (Programming Language), Machine Learning, Software Deployment, Software Engineering, Large Language Models, Multi-Agent Systems, Backend, Information Technology
- **Published:** May 26, 2026
- **Apply:** https://careers.mobileye.com/jobs/software-engineer/5a11fa5e-4e99-44d9-8c43-d181b93b919e

## About the Role

* 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.

## Description

* 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.


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