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Lidar Manufacturing Test Engineer

aeva
Companyaeva
CategoryEngineering
LocationChihuahua
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted1 Jul 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
A manufacturing-focused sensor company is seeking a Manufacturing Test Engineer to lead the deployment, validation, and optimization of calibration and test systems for next-generation LiDAR sensors. The role bridges R&D and high-volume production, ensuring products meet quality standards, performance metrics, and cost targets while working with cross-functional teams and Contract Manufacturers. What You'll Do • Deploy, validate, and optimize calibration and test systems for LiDAR sensors, partnering with Contract Manufacturers to install, debug, and maintain systems during pilot-line and mass-production phases • Analyze production data using SPC and yield analysis to identify, troubleshoot, and resolve test failures; drive corrective and preventive actions using 8D and 5 Whys methodologies • Design, develop, and integrate PCBA test stations (ICT and FCT) into the manufacturing line; drive Design for Testability (DfT) initiatives • Create and maintain technical documentation including test procedures, operator work instructions, and calibration procedures; lead integration with factory MES systems for traceability and quality visibility • Conduct gage R&R studies for line qualification and station matching; prepare MSA reports and collaborate on continuous improvement initiatives through manufacturing data analysis What You Need • Bachelor's degree in Electrical Engineering, Optical Engineering, Mechanical Engineering, Physics, or related field • 3+ years of hands-on experience in manufacturing product testing, specifically with high-precision electro-mechanical assemblies or LiDAR • Strong proficiency in Python for automation, test data analysis, and scripting; Linux shell script experience • In-depth knowledge of statistical process control (SPC) and Gage R&R studies • Proven ability to work with external vendors and Contract Manufacturers for factory bring-up Nice to Have • Experience working with industrial robots and handling systems