> Markdown version of [/jobs/ext/2720396-lidar-characterization-perception-data-engineer](https://www.wearedevelopers.com/jobs/ext/2720396-lidar-characterization-perception-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # LiDAR Characterization & Perception Data Engineer - **Company:** Aeva, Inc. - **Location:** Mountain View, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** 3D Scanning, Systems Engineering, C++ (Programming Language), Databases, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Software Debugging, Global Positioning Systems (GPS), Hardware Design, Python (Programming Language), Software Engineering, Systems Integration, Data Logging, Information Technology, Lidar, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/lidar-characterization-perception-data-engineer-mountain-view-ca-aeva-inc-8616311 ## About the Role * 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. * Ability to work independently and cross-functionally in a fast-moving environment with ambiguous requirements. Aeva is an Equal Opportunity Employer including protected Veterans and individuals with disabilities. ## Description 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, velocity, point cloud quality) in real-world environments to ensure optimal sensor deployment. * Data Infrastructure: Develop Python and C++ infrastructure to ingest, validate, and organize data from collection vehicles and customer fleets: handling file verification, metadata extraction, and database writes. * Calibration & Field Debugging: Run camera, LiDAR, and GPS calibration workflows on internal data collection vehicles and customer platforms. Debug hardware/software integration issues including sensor connectivity, logging failures, and network dropouts. * Pipelines & Labeling: Build and maintain ETL pipelines that move high-volume sensor data to internal storage. Collaborate with external annotation vendors to package data for delivery, validate returned labels, and flag quality issues for the perception team. * Operations Execution: Collaborate with operations and customer engineering teams to plan, support, and execute comprehensive data collection runs. ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [AI Space Factories, Hacking Self-Driving Cars & Detecting Deepfakes](https://www.wearedevelopers.com/videos/1812-ai-space-factories-hacking-self-driving-cars-detecting-deepfakes) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [XR Demystified: Separating Facts from Fiction in 2024](https://www.wearedevelopers.com/videos/1117-xr-demystified-separating-facts-from-fiction-in-2024) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)