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Home Based Lidar Mapping Jobs (NOW HIRING)

Bowman Consulting Group, Ltd.

LiDAR Technician I

Austin, TX · On-site

$19.50 - $26.75/hr

Utilize Global Mapper, Google Earth, and related geospatial tools for data review and validation ... Discretionary bonuses and other performance-based incentives * Employee Assistance Program (EAP ...

Bowman Consulting Group, Ltd.

LiDAR Technician I

Austin, TX · On-site

$19.50 - $26.75/hr

Utilize Global Mapper, Google Earth, and related geospatial tools for data review and validation ... Discretionary bonuses and other performance-based incentives * Employee Assistance Program (EAP ...

Kett Engineering

OTR Test Driver - Mapping

Miami, FL · Remote

$20/day

This position will require extended travel of 23 days travelling and 5 days home. Main Duties ... based survey equipment including GPS and other hardware as directed by the LiDar System Tech Lead ...

Kett Engineering

OTR Test Driver - Mapping

Charlotte, NC · Remote

$20/day

This position will require extended travel of 23 days travelling and 5 days home. Main Duties ... based survey equipment including GPS and other hardware as directed by the LiDar System Tech Lead ...

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Home Based Lidar Mapping information

What is home based LiDAR mapping?

Home based LiDAR mapping involves using Light Detection and Ranging (LiDAR) technology to create detailed maps and 3D models from a remote or home office. Professionals process LiDAR data collected by drones, vehicles, or handheld devices to analyze terrain, vegetation, and structures. This work typically includes cleaning raw data, performing geospatial analyses, and delivering accurate mapping products to clients. Home based LiDAR mapping offers flexibility and is in demand in industries like surveying, construction, forestry, and environmental monitoring.

What are the key skills and qualifications needed to thrive as a home based LiDAR mapping specialist?

To thrive as a Home Based Lidar Mapping Specialist, you typically need proficiency in geospatial analysis, remote sensing, and a background in geography, surveying, or related fields. Familiarity with LiDAR data processing software (such as LAStools, ArcGIS, or QGIS) and experience handling large datasets are essential, and certifications like ASPRS Certified Mapping Scientist can be advantageous. Strong attention to detail, problem-solving abilities, and effective communication skills help ensure accuracy and support collaboration with remote teams. These skills and qualifications are crucial for producing reliable, high-quality mapping data that meets project requirements and industry standards.

What are some common challenges faced by professionals in home based LiDAR mapping roles, and how can they be addressed?

One common challenge in home-based LiDAR mapping is managing large datasets and ensuring data security, as the files can be very large and sensitive. Additionally, remote roles may require strong self-motivation and time management skills since team collaboration happens virtually. To address these challenges, professionals typically use high-performance computers, secure cloud storage solutions, and regularly scheduled virtual meetings to stay connected with their team and maintain project momentum. Staying updated on the latest LiDAR processing software and remote work best practices also helps ensure workflow efficiency and data integrity.

What is the difference between Home Based Lidar Mapping vs Drone Lidar Surveyor?

AspectHome Based Lidar MappingDrone Lidar Surveyor
CredentialsTypically requires lidar certification, GIS knowledge, and technical skillsRequires drone pilot certification, lidar training, and GIS skills
Work EnvironmentRemote, office-based or home-based with data processingFieldwork involving drone operation and on-site data collection
Industry UsageUsed for data processing, mapping, and analysis remotelyUsed for on-site terrain mapping and surveying with drones

Home Based Lidar Mapping focuses on processing and analyzing lidar data remotely, while Drone Lidar Surveyors perform fieldwork using drones to collect lidar data on-site. Both roles require technical skills and lidar knowledge but differ mainly in work environment and data collection methods.

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Home Based Lidar Mapping jobs near you
Infographic showing various Home Based Lidar Mapping job openings in the United States as of September 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Senior/Staff Software Engineer - Localization & Mapping

Austin, TX • On-site

Avride
See more jobs at Avrideexternal

$121K - $160K/yr

Full-time

Re-posted 8 days ago

Job description

About the team
Avride is a rapidly developing company in the autonomous vehicle and delivery robot industry. We develop autonomous vehicle technology from scratch, leveraging the strong technical background of our core team and over seven years of experience in autonomous vehicle development. The Localization team is responsible for providing precise rover location to all the components of the autonomous rover pipeline, like perception, behavior layer, and control. We calculate the position and the orientation of the rover with centimeter and fraction-of-a-degree accuracy, dozens of times per second, and in all conditions. Our most valuable asset is people, each with many years of experience in robotics, EKF, ICP, SLAM algorithms, distributed data processing, software architecture, and machine learning, working together as a motivated, effective, and friendly team.
About the role
We are looking for an experienced senior or staff software engineer to help us build Avride's Localization and Mapping subsystems. You will design and implement on-board localization algorithms and cloud mapping algorithms, improve the precision and reliability of rover localization in hard-to-navigate environments, and improve and speed up cloud mapping SLAM-based processes of lidar map building. You will be able to make data-driven decisions and innovate at one of the exciting frontiers of technological advancement.
What you'll do
  • Develop the cloud mapping subsystem with graph optimization at its core.
  • Develop the Sensor Fusion Localization subsystem, which combines the measurements of multiple sensors (LiDAR, IMU, GNSS, etc.) to calculate rover position to centimeter precision and orientation to 0.1-degree precision.
  • Support sister development and operation teams on issues related to localization.
What you'll need
  • 3+ years of professional software engineering experience
  • Strong C++ programming skills
  • Solid understanding of algorithms, data structures, and software design patterns
  • Solid soft skills - intra- and inter-team collaboration, business-driven development focus, planning and getting-things-done, effective and respectful communication
Nice to have
  • Experience in robotics. Good knowledge of EKF, localization, calibration, and point cloud processing algorithms is welcome.
  • Strong mathematical knowledge and skills, especially in optimization, probability theory, and mechanics. Ability to turn ideas into formulas and formulas into algorithms.
  • Relevant publications or achievements in hackathons / programming contests
  • Eagerness to track recent advancements in the field and implement the best ideas to keep algorithms' performance state-of-the-art and beyond

#LI-MS1
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

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