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Point Cloud Lidar Jobs (NOW HIRING)

Jobtailor

Remote Sensing Project Lead

Minnetonka, MN · On-site

Coordinate LiDAR and imagery acquisition and ground survey control * Oversee point cloud classification and feature/attribute coding to utility-specific standards * Develop and maintain project ...

New

Latitude AI

Senior Hardware Engineer, Lidar

Pittsburgh, PA · On-site

$107K - $143K/yr

Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness

Pape-Dawson

Familiar with GIS integration or point cloud/LiDAR data. Strong problem‑solving skills and communication skills with the ability to provide technical support to project teams. Ability to work ...

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Point Cloud Lidar information

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How much do point cloud lidar jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for point cloud lidar in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What is a point cloud LiDAR specialist?

A Point Cloud LiDAR specialist is a professional who works with Light Detection and Ranging (LiDAR) technology to collect, process, and analyze 3D spatial data. They use LiDAR sensors to generate 'point clouds,' which are detailed digital representations of physical environments. These specialists are often involved in projects like mapping, surveying, construction, forestry, and autonomous vehicle navigation. Their expertise helps transform raw LiDAR data into usable information for engineering, planning, and research purposes.

What are the key skills and qualifications needed to thrive as a point cloud LiDAR specialist?

To thrive as a Point Cloud LiDAR Specialist, you need expertise in geospatial analysis, remote sensing, and a relevant degree in fields like geography, engineering, or geomatics. Familiarity with LiDAR data processing software (e.g., LAStools, TerraScan, ArcGIS), CAD applications, and experience with LiDAR sensors are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for managing complex datasets and collaborating with multidisciplinary teams. These competencies ensure accurate data collection, processing, and interpretation essential for delivering high-quality geospatial solutions.

What are some typical challenges faced by professionals working with point cloud LiDAR data, and how can they be addressed?

Professionals working with point cloud LiDAR data often encounter challenges such as managing large data sets, ensuring accurate data registration, and filtering out noise or irrelevant points. Effective solutions include utilizing specialized software tools for data processing, establishing clear workflows for quality assurance, and collaborating closely with surveyors, GIS specialists, and engineers to validate results. Staying updated with the latest industry techniques and regularly participating in training can also help overcome technical obstacles and improve data accuracy.

What is the difference between Point Cloud Lidar vs Drone Surveyor?

AspectPoint Cloud LidarDrone Surveyor
Primary FocusCapturing 3D point cloud data using Lidar sensorsConducting aerial surveys using drones to collect imagery and spatial data
Required CredentialsTechnical certifications in Lidar technology, GIS, or surveyingDrone pilot licenses, GIS or surveying certifications
Work EnvironmentConstruction sites, forests, urban areas with Lidar equipmentOpen outdoor areas, construction sites, remote locations
Industry UsageMapping, topography, infrastructure inspectionLand surveying, construction planning, environmental monitoring

While Point Cloud Lidar specialists focus on collecting detailed 3D data with Lidar sensors, Drone Surveyors utilize drones to capture aerial imagery and spatial data. Both roles are essential in mapping and surveying projects but differ in equipment, data collection methods, and typical work environments.

What other helpful pages are available for Point Cloud Lidar?

Other pages related to Point Cloud Lidar:

Infographic showing various Point Cloud Lidar job openings in the United States as of September 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Remote Sensing Project Lead

Minnetonka, MN • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 2 days ago

New

Job description

  • Manage electric utility transmission, distribution, and substation aerial and terrestrial mapping projects from inception through final PLS-CADD deliverable across multiple concurrent engagements
  • Serve as the primary client contact for utility and cooperative clients
  • Represent Westwood in scoping calls, kickoff meetings, and progress reviews
  • Develop and manage proposals, fee estimates, invoicing, and work-in-process tracking
  • Coordinate LiDAR and imagery acquisition and ground survey control
  • Oversee point cloud classification and feature/attribute coding to utility-specific standards
  • Develop and maintain project schedules, budgets, and staffing plans across classification, PLS-CADD, and QA/QC teams
  • Communicate project status and risks
  • Identify and document scope changes and prepare and negotiate change orders
  • Implement and enforce QA/QC procedures for classified point clouds, feature coding, and PLS-CADD models before client delivery
  • Coordinate production staff, acquisition teams, survey crews, and PLS-CADD designers
  • Provide guidance, technical review, and feedback to project technicians
  • Support other aerial and terrestrial mapping projects outside the utility sector as needed
Requirements
  • 5+ years of project management experience in electric utility, transmission/distribution, or geospatial and surveying services
  • In-depth knowledge of aerial LiDAR/imagery acquisition and point cloud classification workflows for utility corridors and substations
  • Familiarity with terrestrial/mobile LiDAR scanning platforms and processing workflows
  • Familiarity with PLS-CADD modeling processes and utility engineering to the level of understanding what is required from a mapping sortie
  • Demonstrated ability to manage multiple concurrent utility client engagements and cross-functional technical teams
  • Proficiency in managing project financials, including budgets, invoices, and WIP
  • Excellent communication, organizational, and client management skills
  • ASPRS Certification preferred
  • Direct hands-on experience with PLS-CADD software and utility feature coding standards preferred
  • Experience with substation mapping, vegetation management, encroachment analysis, or clearance reporting for electric utilities preferred
  • Experience across multiple market verticals, including power delivery, renewables, and public infrastructure preferred
Core Competencies

Demonstrates expertise in managing electric utility transmission and distribution projects, with a strong focus on aerial LiDAR and point cloud classification workflows. Proficient in project financial management, client communication, and cross-functional team coordination.

Highest-signal resume keywords
  • Project Management Experience
  • Aerial LiDAR Acquisition
  • PLS-CADD Software Proficiency
  • Utility Feature Coding Standards
  • Client Management Skills
ATS Optimization KeywordsHard Skills
  • Project Financial Management
  • Point Cloud Classification
  • Geospatial Services
  • Budget Management
  • Proposal Development
  • Change Order Preparation
  • QA/QC Procedures
  • Survey Control Coordination
  • Technical Review
  • Staffing Plan Development
Soft Skills
  • Excellent Communication
  • Organizational Skills
Certifications & Qualifications
  • ASPRS Certification
Industry Keywords
  • Electric Utility
  • Transmission/Distribution
  • Substation Mapping
  • Vegetation Management
  • Encroachment Analysis
  • Power Delivery
  • Renewables
  • Public Infrastructure
Tools & Technologies
  • PLS-CADD
  • LiDAR Scanning Platforms
  • Imagery Acquisition Systems
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