Aeva

4D LiDAR sensors with velocity detection

LiDAR Manufacturing Test Engineer

Quality EngineeringConfirmed live in the last 24 hours

ContractChihuahua, Mexico$30 - $40 /hr

About the Job

Requirements

A bachelor's degree in Electrical Engineering, Optical Engineering, Mechanical Engineering, Physics, or a related field.
At least 3 years of hands-on experience in manufacturing product testing, specifically with high-precision electro-mechanical assemblies or LiDAR.
Proven ability to work with external vendors and Contract Manufacturers for factory bring-up.
Strong proficiency in Python for automation, test data analysis, and scripting, and in Linux shell scripts.
In-depth knowledge of statistical process control and Gage R&R studies.
Experience working with industrial robots and handling systems.

Responsibilities

Partner with Contract Manufacturers to install, debug, and maintain calibration and test systems, ensuring robust performance during pilot-line and mass-production phases.
Collaborate with the test engineering team to improve test processes, cycle time, and automation.
Run gage R&R for line qualification and station matching, and prepare measurement system analysis reports.
Analyze production data, including statistical process control and yield data, to identify, troubleshoot, and resolve test failures, driving corrective and preventive actions using 8D and 5 Whys.
Create and maintain technical documentation, including test procedures, operator work instructions, and calibration procedures.
Lead integration with factory manufacturing execution system platforms to improve visibility into assembly traceability and quality.
Drive design for test, design, and development of printed circuit board assembly test stations such as in-circuit test and functional circuit test used in the manufacturing line.
Develop the product test strategy, working cross-functionally with product design, manufacturing, and quality stakeholders to determine test requirements and drive execution of associated projects.
Drive continuous improvement in the manufacturing process by analyzing manufacturing data to identify trends and root causes of failures.
Collaborate with and influence the product development process and schedules, and lead yield reporting and the failure analysis process.

Salary Range: 30 to 40 (Currency: USD) (Pay period: per-hour-wage)

Role overview:

We are seeking a Manufacturing Test Engineer to lead the deployment, validation and optimization of calibration & test for our next-generation LiDAR sensors. In this role, you will bridge the gap between R&D and high-volume production, ensuring our products meet superior quality standards, performance metrics, and cost targets. You will work closely with cross-functional teams to improve yield, optimize test and ensure timely product delivery to customers.

What you will be doing:

Partner with Contract Manufacturers (CMs) to install, debug, and maintain calibration and test systems, ensuring robust performance during pilot-line and mass-production phases.

Collaborate with the test engineering team to improve test processes, cycle time and automation.

Run gage R&R for line qualification and station matching and prepare MSA report.

Analyze production data (SPC/yield) to identify, troubleshoot, and resolve test failures, driving corrective and preventive actions (8D, 5 Whys).

Create and maintain technical documentation, including test procedures, operator work instructions, and calibration procedures.

Lead the integration with factory MES systems to improve visibility to assembly traceability and quality.

Drive DfT, design and development of PCBA test stations such as ICT and FCT used in our manufacturing line.

Develop the test strategy for the product, working cross-functionally with stakeholders such as the product design, manufacturing, and quality teams to determine test requirements and drive execution of associated projects.

Drive continuous improvement in the manufacturing process by analyzing manufacturing data to identify trends and identify root causes of failures.

Collaborate and influence the product development process and schedules, lead yield reporting and failure analysis process.

What you will have:

Bachelor’s degree in Electrical Engineering, Optical Engineering, Mechanical Engineering, Physics, or a related field.

3+ years of hands-on experience in manufacturing product testing, specifically with high-precision electro-mechanical assemblies or LiDAR.

Proven ability to work with external vendors and Contract Manufacturers (CMs) for factory bring-up.

Strong proficiency in Python for automation, test data analysis, and scripting and linux shell scripts.

In-depth knowledge of statistical process control (SPC) and Gage R&R studies.

Experience working with industrial robots and handling systems.

Aeva is an Equal Opportunity Employer including protected Veterans and individuals with disabilities.

About the Company

Aeva

4D LiDAR sensors with velocity detection

Aeva designs and sells perception sensors, focusing on 4D LiDAR that measures both the velocity and 3D position of objects. The sensors are built by integrating all core LiDAR components onto a silicon photonics chip, creating a compact, efficient module. This technology is applied across automated driving, industrial robotics, consumer electronics, consumer health, and security to improve safety, efficiency, and functionality of autonomous systems. Unlike many competitors that offer traditional 3D sensing, Aeva’s 4D capability provides richer environmental data that helps autonomous systems detect motion and position at once. The company’s business model centers on developing, producing, and selling these sensors to businesses, potentially partnering with other firms to integrate the tech into a wider range of products. Aeva’s goal is to advance autonomous capabilities by delivering practical, scalable sensing solutions that enhance perception and safety across multiple industries.

Company size: 201-500
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 2017

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