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Remote Lidar Engineer Jobs (NOW HIRING)

Woolpert

Remote Sensing Specialist

Denver, CO · On-site +1

Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services ... Facilitate calibration of bathymetric lidar, topographic lidar, and aerial imagery systems.

GuideTech LLC

Senior Navigation Engineer

$107K - $146K/yr

Remote, USA As a Senior Navigation Engineer, you'll develop advanced navigation and state ... Develop and integrate multi-sensor navigation systems using GNSS, INS, IMUs, vision, LiDAR, RF, and ...

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How much do remote lidar engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote lidar engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is a remote lidar engineer?

A Remote Lidar Engineer is a professional who specializes in the development, operation, and analysis of Light Detection and Ranging (LiDAR) systems while working remotely. They use LiDAR technology to collect and interpret spatial data for applications such as mapping, surveying, forestry, autonomous vehicles, and environmental monitoring. Remote Lidar Engineers are responsible for processing point cloud data, maintaining data quality, and often developing algorithms or software to enhance LiDAR data analysis. Their work enables accurate 3D modeling of environments and supports a range of industries seeking advanced geospatial insights.

What are the key skills and qualifications needed to thrive as a remote lidar engineer?

To thrive as a Remote Lidar Engineer, you need a solid background in remote sensing, geospatial analysis, and lidar data processing, usually supported by a degree in engineering, geosciences, or a related field. Familiarity with lidar processing software (such as LAStools, TerraScan, or ArcGIS), programming languages like Python or MATLAB, and experience with cloud-based data management platforms is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with remote teams and clients. These competencies ensure precise data analysis, efficient project delivery, and reliable outcomes in remote and dynamic work environments.

What are some unique challenges faced by remote lidar engineers and how can they be addressed?

Remote Lidar Engineers often face challenges related to collaborating with field teams and managing large datasets from afar. Effective communication is crucial, as you may need to coordinate with on-site technicians to ensure data quality and troubleshoot issues remotely. Additionally, handling and processing high volumes of Lidar data requires strong organizational and technical skills, as well as reliable remote access to powerful computing resources. Building solid documentation and leveraging collaborative tools can help bridge gaps and maintain workflow efficiency.
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Remote Lidar Engineer jobs near you
Infographic showing various Remote Lidar Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA • Remote

$97K - $135K/yr

Full-time

Re-posted 6 days ago

Job description

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the countrys most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.

We are seeking a skilled Remote Sensing Engineer to support the development, analysis, and exploitation of remote sensing data for national security, defense, and geospatial intelligence missions. The ideal candidate has experience working with geospatial datasets, remote sensing technologies, and automation tools, and is comfortable collaborating across multidisciplinary teams to solve complex technical challenges.

An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required for this position.


  • Process, analyze, and interpret satellite, airborne, and other remotely sensed imagery.
  • Develop and maintain geospatial analysis workflows and automated processing pipelines.
  • Design and implement Python-based tools to support imagery processing, feature extraction, and geospatial analysis.
  • Perform image classification, object detection, change detection, and spatial analysis using commercial and open-source tools.
  • Support sensor calibration, validation, and quality assurance activities.
  • Work closely with engineers, data scientists, and intelligence analysts to develop mission-focused solutions.
  • Prepare technical documentation, reports, and presentations for technical and non-technical audiences.
  • Evaluate emerging remote sensing technologies and recommend improvements to existing workflows.
  • Contribute to project planning, technical discussions, and continuous process improvement initiatives.

Required Qualifications
  • Active TS/SCI security clearance (required).
  • Bachelor's degree in Remote Sensing, Geospatial Science, Geography, GIS, Computer Science, Engineering, Physics, Environmental Science, or a related technical discipline.
  • minimum of 5 years professional experience in remote sensing, geospatial analysis, GIS, or a related engineering field.
  • Experience processing and analyzing satellite, aerial, or other remotely sensed imagery.
  • Proficiency with remote sensing and GIS software such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or similar platforms.
  • Strong Python programming skills for geospatial analysis and workflow automation.
  • Experience with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, or OpenCV.
  • Understanding of raster and vector geospatial data formats and coordinate reference systems.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to manage multiple priorities and work independently in a remote, collaborative environment.
Preferred Qualifications
  • Experience supporting DoD, NGA, NRO, or Intelligence Community programs.
  • Experience with SAR, LiDAR, hyperspectral, multispectral, or thermal imagery.
  • Familiarity with cloud-based geospatial processing environments such as AWS or Azure.
  • Experience with machine learning or computer vision techniques applied to geospatial imagery.
  • Knowledge of containerization technologies such as Docker and modern software development practices.
  • Experience with Git and collaborative software development workflows.

$97,000 - $135,000 This represents the typical compensation range for this position based on experience, location and other factors.
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veterans status or any other status legally protected by applicable federal, state, and local law.

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