Radar ATE Engineer
About this role
We are seeking a highly skilled and hands-on Radar ATE Engineer to support the end-to-end production, validation, and analysis of automotive radar systems. This role bridges automated test equipment (ATE) development and product analysis, ensuring high-quality sensor delivery and minimal downtime across global production sites. The position includes deep technical involvement in both software and hardware domains, with a strong focus on manufacturing support, system-level troubleshooting, and continuous process improvement.
\nWhat will your job look like:- Develop and maintain Automated Test Equipment (ATE) systems and debug tools to ensure robust and reliable testing of radar products.
- Support high-volume Mass Production manufacturing environments by ensuring stable test operations and minimizing production downtime.
- Provide ongoing support to production and test lines by addressing urgent ATE and DUT-level issues.
- Develop, execute, analyze, and debug radar test sequences, automation tools, and test infrastructures using Python and MATLAB, supporting engineering investigations, production KPIs, and continuous test improvements.
- Work hands-on with hardware, drivers, test equipment, and measurement instruments to support validation, production testing, and troubleshooting activities.
- Collaborate closely with Software, Algorithms, RF, Hardware, Production, and System Integration teams to resolve technical issues efficiently.
- Apply a strong system-level perspective to analyze and troubleshoot complex issues across software, hardware, RF, and manufacturing domains.
- Perform root cause analysis, calibration, characterization, and debugging activities.
- Track and manage test issues and results using JIRA and internal logging systems.
- Escalate recurring, critical, or systemic failures and drive corrective actions and continuous improvement initiatives.
- Monitor production performance and provide technical support to global manufacturing sites, including yield monitoring, unit status tracking, and KPI analysis.
- Coordinate with Production, System Integration, and Software Engineering teams to ensure release readiness and smooth production ramp-up.
- Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field.
- 6+ years of experience in Production Testing, Manufacturing Test Engineering, or ATE development.
- Proven experience developing, maintaining, and supporting Automated Test Equipment (ATE) systems in high-volume manufacturing environments.
- Strong hands-on Python development skills, including object-oriented programming (OOP), scripting, debugging, data analysis, and development of test automation tools and infrastructures.
- Experience working with Git and version control systems in a collaborative development environment.
- Hands-on experience managing Merge Requests / Pull Requests, conducting code reviews, and supporting code integration processes.
- Hands-on experience working in Linux-based development and test environments.
- Experience using MATLAB.
- Hands-on experience working with drivers, test equipment (ATE/lab instruments), and hardware validation.
- Experience with JIRA and test result database systems.
- Strong troubleshooting and root cause analysis skills, including ATE debugging, hardware bring-up, calibration workflows, and system-level problem solving.
- Experience working in multidisciplinary environments alongside Software, Hardware, RF, Algorithm, and Production teams.
- Ability to work independently in a fast-paced environment while managing multiple priorities.
- Willingness and availability for international travel.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Company at a glance
Mobileye pioneers physical AI for intelligent systems including advanced ADAS, autonomous driving solutions, and humanoid robotics.
Mobileye’s physical AI foundation reflects decades of experience in real-world driving intelligence, applying the same engineering principles that shaped its automotive AI leadership to AI for humanoid robotics in complex physical environments.
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