$110K – $149.2K/yr
LiDAR Characterization & Perception Data Engineer - Mountain View, CA
Pay vs market · Near median
This job's pay ($182,250 a year at the midpoint) is higher than about 45% of 57 salary-listed Data Engineer jobs in United States in the last 12 months; their median is $190,000.
Role overview
Job description
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.
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.
About this listing
- Source: Aeva, Inc.'s official careers site (via Lever) · last confirmed on the source 6 Nov 2026
- Posted 30 Jun 2026
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How Data Engineer demand looks in United States
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193
Posted 30d
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Salary listed
77.2%
Salary trend 1Y
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What they are looking for
Skills & requirements
Qualification
What You Have Willingness to travel up to 20% 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)
Department · Software
Hiring company
Aeva, Inc.
View the company profile, current openings and hiring details.
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