Software Field Applications Engineer
Aeva, Inc. · On-site
MeritLog read this listing from Aeva, Inc.'s Lever job board and last checked it on September 12, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- $132,400 - $222,365
- Location
- Mountain View, CA
Hiring context
How this role compares at Aeva, Inc.
Aeva, Inc. has 43 live roles in MeritLog’s catalog across 7 job families, and 31 of them are in engineering. 35 of those listings publish a pay range, a disclosure rate of 81%.
This role's posted range of $132,400 - $222,365 sits above 52% of the 31 other Aeva, Inc. roles quoted over the same currency and period.
Aeva, Inc. concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
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.
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