Software Field Applications Engineer

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 Software Field Applications Engineer to support customer software integration for Aeva’s 4D LiDAR products. This is a customer-facing role focused on helping partners successfully deploy and use Aeva software interfaces, tools, and example applications. You will work closely with customers to bring up sensors, integrate software into their systems, troubleshoot issues, and develop custom examples or solutions when needed.

This role is ideal for someone who enjoys hands-on software work, customer interaction, and solving practical integration problems across robotics, perception, and automotive systems.

Responsibilities: Support customer software integration for Aeva sensors and software interfaces.

Build lightweight custom software solutions, example code, scripts, and prototypes to accelerate customer adoption.

Work directly with customers on technical discussions, troubleshooting, issue resolution, and integration planning.

Contribute to technical documentation, application notes, release notes, and other customer-facing materials.

Collaborate with internal engineering teams to communicate customer feedback, reproduce issues, and improve product usability.

Ability to travel up to 10% as needed within the United States and Europe to support customer engagements.

What you have: BS in Computer Science, Robotics, Electrical Engineering, Software Engineering, or a related field.

3+ years of prior hands-on coding experience in C++ and/or Python.

Comfortable using AI coding tools effectively to accelerate development, debugging, and prototyping in C++ and Python.

Experience working in Linux-based development environments.

Basic networking knowledge, including IP configuration, ports, and common connectivity/debugging workflows.

Strong communication skills, with the ability to explain technical concepts clearly to customers and internal teams.

Nice to have: Experience with robotics or autonomous vehicle software frameworks such as ROS/ROS2.

Experience working with LiDAR, cameras, radar, or related sensing systems.