Systems Engineer, LiDAR Characterization

Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions.

Role Overview

We are looking for a Systems Engineer, LiDAR Characterization, to join the Systems team and work hands-on with our next-generation 4D LiDAR sensors. This role is for someone who wants to spend most of their time on the sensor itself: running it in the lab and in the field, measuring how it performs, and working out why it behaves the way it does.

You will characterize sensor performance across a wide range of scenarios, debug system-level issues, and support sensor calibration. You will work closely with senior systems engineers and with the algorithms, firmware, hardware, and optics teams, and you will build a working understanding of the full sensor, from the photonics and electronics through signal processing to the point cloud.

What you'll do

• Set up and run tests on LiDAR sensors in the lab and on vehicles for comprehensive characterization
• Develop automation software to accelerate lab testing and data collection
• Support field data collection across real-world scenarios, including preparing sensors and test setups and logging test conditions.
• Investigate system-level issues: reproduce the problem, collect diagnostic data, and work with the relevant engineering teams to find the root cause.
• Help develop, run, and verify sensor calibration procedures.
• Analyze sensor data with Python or MATLAB, and document and present results to the Systems team and cross-functional partners.

What you'll have

• An MS in Electrical Engineering, Physics, Optics/Photonics, Mechanical Engineering, or a related field, with 0-2 years of industry experience.
• Hands-on lab experience with sensors, optical systems, or electronic test equipment from research, internships, or industry.
• Proficiency in Python or MATLAB for data analysis, and a foundation in signal processing, optics, or measurement statistics.
• A methodical approach to debugging problems that span hardware, firmware, and software, and clear written and verbal communication.
• Experience with LiDAR, radar, or other perception sensors, FMCW or coherent detection, or sensor calibration is a plus.

What's in it for you

• Spend most of your time hands-on with a cutting-edge 4D LiDAR sensor and learn the full system end to end.
• Work alongside and be mentored by experienced systems, optics, and signal processing engineers.
• Be part of a fast-paced and dynamic team.