Automation Testing Engineer

Posted 11 Hours Ago
Be an Early Applicant
Beijing, CHN
In-Office
Junior
Automotive • Automation
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.
The Role
Design, develop, and maintain testing tools, data-processing scripts, and automation workflows for autonomous driving technologies. Perform AV test-data annotation and quality checks, analyze issues and root causes, support data collection and reproduction, and track resolutions through closure. Collaborate with global R&D, QA, and customer teams to improve testing efficiency, data quality, and product validation.
Summary Generated by Built In
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. 

Skills Required

  • Bachelor’s or Master’s degree in electrical engineering, computer science, automotive engineering, geoinformatics, or a related field
  • 1–3 years of relevant experience in software development, testing, or validation engineering
  • Experience in data annotation, autonomous vehicle validation, or quality analysis
  • Script development experience, such as Python, for testing and tooling
  • Strong analytical and problem-solving skills with attention to detail
  • Strong teamwork and communication skills
  • Good written and spoken English proficiency
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The Company
HQ: Jerusalem
3,700 Employees

What We Do

Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.

Why Work With Us

Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.

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