Aeva

4D LiDAR sensors with velocity detection

Lidar Characterization & Perception Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeMountain View, CA, USA$154.9k - $209.6k /yr

About the Job

Requirements

A bachelor's degree in Computer Science, Electrical Engineering, Optics, or a related field, or equivalent practical experience.
At least 3 years of industry experience combining software development with hardware or systems engineering; candidates with a master's degree need at least 2 years.
Hands-on experience with LiDAR, radar, or camera systems, including hardware troubleshooting, calibration, and point cloud analysis.
Strong software engineering fundamentals, including data structures and system design, and experience designing or operating data pipelines at scale.
Willingness to travel up to 20%.
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 with ambiguous requirements.

Responsibilities

Act as a technical liaison for customers and assist with hardware integration.
Characterize 4D LiDAR performance, including range, velocity, and point cloud quality, in real-world environments to support optimal sensor deployment.
Develop Python and C++ infrastructure to ingest, validate, and organize data from collection vehicles and customer fleets, including file verification, metadata extraction, and database writes.
Run camera, LiDAR, and GPS calibration workflows on internal data collection vehicles and customer platforms.
Debug hardware and software integration issues, including sensor connectivity, logging failures, and network dropouts.
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.
Collaborate with operations and customer engineering teams to plan, support, and execute data collection runs.

Desired Qualifications

Familiarity with robotics or autonomous systems data such as ROS, sensor logs, binary formats, or perception datasets.

Salary Range: 154900 to 209600 (Currency: USD) (Pay period: per-year-salary)

About us:

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'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 you will be doing

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.

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).
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.

About the Company

Aeva

4D LiDAR sensors with velocity detection

Aeva designs and sells perception sensors, focusing on 4D LiDAR that measures both the velocity and 3D position of objects. The sensors are built by integrating all core LiDAR components onto a silicon photonics chip, creating a compact, efficient module. This technology is applied across automated driving, industrial robotics, consumer electronics, consumer health, and security to improve safety, efficiency, and functionality of autonomous systems. Unlike many competitors that offer traditional 3D sensing, Aeva’s 4D capability provides richer environmental data that helps autonomous systems detect motion and position at once. The company’s business model centers on developing, producing, and selling these sensors to businesses, potentially partnering with other firms to integrate the tech into a wider range of products. Aeva’s goal is to advance autonomous capabilities by delivering practical, scalable sensing solutions that enhance perception and safety across multiple industries.

Company size: 201-500
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 2017

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