Backed by Lux.
About the role
We're looking for a versatile engineer to serve as a critical bridge between our hardware, customer integration (FAE), and perception teams. As a shared resource, you will own the full lifecycle of our sensor data in the field. You will split your time between characterizing physical sensor performance, supporting customer deployments, and building the production-grade Python and C++ data pipelines required to ingest, validate, and label that data for our perception models.
What they're looking for
- Bachelor's degree in Computer Science, Electrical Engineering, Optics, or a related field, or equivalent practical experience
- 3+ years of industry experience blending software development (production Python and C++) with hardware/systems engineering (2+ years with a Master's)
- Hands-on experience with LiDAR, radar, or camera systems, including hardware troubleshooting, calibration, and point cloud analysis
- Strong fundamentals in software engineering (data structures, system design) and experience designing or operating data pipelines at scale
- Excellent communication skills, with the ability to translate complex technical issues between external customers, hardware engineers, and perception software teams
- Familiarity with robotics or autonomous systems data such as ROS, sensor logs, binary formats, or perception datasets is a strong plus
More about this role
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.
We're looking for a versatile engineer to serve as a critical bridge between our hardware, customer integration (FAE), and perception teams. As a shared resource, you will own the full lifecycle of our sensor data in the field. You will split your time between characterizing physical sensor performance, supporting customer deployments, and building the production-grade Python and C++ data pipelines required to ingest, validate, and label that data for our perception models.
Sensor Characterization & FAE Support: Act as a technical liaison for customers. Assist with hardware integration and characterize 4D LiDAR performance (range,...
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