Automation Testing Engineer

Beijing, China

R&D – Algorithms /

On-site

Mobileye China R&D Center is looking for a motivated Testing Engineer with a strong development focus to support quality assurance and validation of autonomous driving (AV) technologies. This role goes beyond hands-on testing and issue analysis—it emphasizes designing, building, and maintaining test tools, data-processing scripts, and automation workflows. You will work closely with global teams and customers to improve test efficiency, data quality, and closed-loop issue resolution, helping ensure our AV products meet high quality standards.

What will your job look like

Perform data annotation and quality checks for AV driving test data.

Analyze AV related issues, including root-cause investigation and issue classification.

Design, develop, and maintain scripts to support testing, data processing, and workflow automation.

Support issue resolution, including data collection, reproduction, and follow-up tracking.

Collaborate with stakeholders across R&D, QA, and other teams to drive issues to closure.

All you need is

Bachelor’s or Master’s degree in EE, CS, automotive, geoinformatics, or a related field.

1–3 years of relevant experience in software development, testing, or validation engineering, preferably in automotive, ADAS, or other relevant domains.

Experience in data annotation, AV validation, or quality analysis is preferred.

Script development experience (e.g., Python) for testing, tooling.

Strong analytical and problem-solving skills, with attention to detail.

Good teamwork and communication skills.

Good English proficiency for written and spoken communication.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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