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Lidar Operator Jobs (NOW HIRING)

Mariana Minerals

Drone Operator

Moab, UT · On-site

The Drone Operator ensures all drone missions are executed in accordance with applicable aviation ... Collect aerial imagery, video, LiDAR, photogrammetry, and other operational data. * Verify data ...

IntelliPro Group Inc.

Vehicle Operator

Sunnyvale, CA · On-site

$25 - $30/hr

... operating a vehicle including by following precise routes, ensuring system uptime, and performing ... Comprehensive pre- and post-trip inspections of specialized onboard hardware (Cameras, LiDAR, and ...

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Lidar Operator information

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How much do lidar operator jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for lidar operator in the United States is $23.04, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $21.88 per hour, depending on experience, location, and employer.

What is a lidar operator?

A Lidar Operator is responsible for using Light Detection and Ranging (LiDAR) technology to collect high-resolution spatial data for mapping and surveying purposes. They operate specialized equipment mounted on vehicles, drones, or aircraft to scan terrain, structures, and vegetation. Their duties include setting up and calibrating sensors, ensuring data accuracy, processing raw LiDAR data, and troubleshooting technical issues. Lidar Operators work in industries like geospatial mapping, construction, forestry, and infrastructure development. Strong technical skills, attention to detail, and familiarity with GIS software are essential for this role.

What does a lidar operator do?

A typical day for a Lidar Operator often includes preparing equipment, conducting field surveys—sometimes in challenging weather or terrain—and capturing high-precision 3D data. After fieldwork, you may spend time processing and analyzing the collected data on a computer, ensuring its accuracy and completeness. Collaboration with survey managers, GIS teams, and project coordinators is common to integrate Lidar data into larger mapping or engineering efforts. The work strikes a balance between hands-on field activities and technical data analysis, offering variety and opportunities for skill development.

What skills and qualifications are needed to be a lidar operator?

To thrive as a Lidar Operator, you need strong spatial awareness, attention to detail, and experience with surveying or geospatial data collection, typically supported by relevant training or certifications in Lidar technology or geomatics. Proficiency with Lidar hardware, GPS systems, 3D mapping software, and data processing tools such as TerraScan or Global Mapper is essential. Being dependable, having good communication skills, and working well both independently and within field teams will help you excel in project-based environments. These abilities are vital for ensuring accurate data collection, safe field operations, and effective collaboration on complex mapping or surveying projects.

How do you become a lidar operator?

To become a lidar operator, you typically need a high school diploma or equivalent, along with training in lidar technology and data processing. Many employers prefer candidates with experience in surveying, GIS, or related fields, and some roles may require certification in operating lidar equipment or related software.
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Lidar Operator jobs near you
Infographic showing various Lidar Operator job openings in the United States as of August 2026, with employment types broken down into 38% Full Time, 60% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.

LiDAR Characterization & Perception Data Engineer - Mountain View, CA

Aeva, Inc.

Mountain View, CA • On-site

$154K - $209K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago

Job description

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
  • 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.

$154,900 - $209,600 a year
Salary pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, certifications, qualifications, relevant education or training, and market conditions. These ranges are subject to change in the future. Depending on the position offered, equity, bonus, and other forms of compensation may be provided as part of a total compensation package, in addition to comprehensive medical, dental, and vision coverage, pre-tax commuter and health care/dependent care accounts, 401k plan, life and disability benefits, flexible time off, paid parental leave, and 11 paid holidays annually.
Aeva is an Equal Opportunity Employer including protected Veterans and individuals with disabilities.
AEVA logo

About AEVA

Sourced by ZipRecruiter

Industry

Manufacturing and manufacturing

Company size

1 - 10 Employees

Headquarters location

Palo Alto, CA, US

Year founded

2017

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