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Home Based Lidar Mapping Jobs (NOW HIRING)

Hydrographic Sales Manager - Marine

Lafayette, LA ยท On-site +1

$93K - $149K/yr

Develop and Implement go to market strategies Hydrographic market solutions (lidar mapping ... based factors. Individuals with disabilities needing assistance in the recruitment process are ...

Hydrographic Sales Manager - Marine

Frederick, MD ยท On-site +1

$93K - $149K/yr

Develop and Implement go to market strategies Hydrographic market solutions (lidar mapping ... based factors. Individuals with disabilities needing assistance in the recruitment process are ...

Develop and Implement go to market strategies Hydrographic market solutions (lidar mapping ... based factors. Individuals with disabilities needing assistance in the recruitment process are ...

Hydrographic Sales Manager - Marine

Frederick, MD ยท On-site +1

$93K - $149K/yr

Develop and Implement go to market strategies Hydrographic market solutions (lidar mapping ... based factors. Individuals with disabilities needing assistance in the recruitment process are ...

Develop and Implement go to market strategies Hydrographic market solutions (lidar mapping ... based factors. Individuals with disabilities needing assistance in the recruitment process are ...

Home Based Visitor

New York, NY ยท On-site +1

$50K - $57K/yr

Work with families on "Family Success Road Maps" and ensure health requirements (e.g ... Possession of a Home-Based CDA credential OR an equivalent credential (e.g., an Associate's or ...

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Home Based Lidar Mapping information

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.

What are the key skills and qualifications needed to thrive as a Home Based Lidar Mapping Specialist, and why are they important?

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 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 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.
More about Home Based Lidar Mapping jobs
What cities are hiring for Home Based Lidar Mapping jobs? Cities with the most Home Based Lidar Mapping job openings:
What are the most commonly searched types of Lidar Mapping jobs? The most popular types of Lidar Mapping jobs are:
What states have the most Home Based Lidar Mapping jobs? States with the most job openings for Home Based Lidar Mapping jobs include:
What job categories do people searching Home Based Lidar Mapping jobs look for? The top searched job categories for Home Based Lidar Mapping jobs are:
Infographic showing various Home Based Lidar Mapping job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 4% Full Time, 57% Part Time, 2% Temporary, 32% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.
Senior Software Engineer, Mapping & Localization

Senior Software Engineer, Mapping & Localization

PlusAI

Santa Clara, CA โ€ข On-site

$150K - $200K/yr

Full-time

Posted 17 days ago


Job description

We are seeking a highly skilled and motivated Senior Software Engineer to join our Mapping & Localization team. In this role, you will be responsible for enhancing both the online and offline components of our mapping infrastructure, including online map interface, map version control, tile-based LiDAR map generation, and large-scale map management. You will play a critical role in supporting runtime map queries for key modules such as perception, localization, prediction, and planning.
Responsibilities:
  • Design and optimize scalable interfaces for online lane and map representation.
  • Improve cross-module map interfaces to support perception, prediction, and planning pipelines.
  • Develop and enhance systems for large-scale map deployment, including offline map generation, version control, and online tile-based LiDAR map loading.
  • Maintain and evolve the mapping watchdog and event mining systems to monitor system health and anomalies.
  • Enhance the mapping CI system to support robust development and deployment workflows.
  • Optimize performance of offline 3D reconstruction pipelines.
  • Collaborate closely with cross-functional teams to understand system-wide dependencies and performance needs across perception, planning, control, simulation, and infrastructure.
  • Work with the operations team to define requirements for data collection, preprocessing, labeling, and validation.
  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills:
  • BS or MS in Computer Science, Computer Engineering, or a related technical field.
  • 3+ years of experience in developing large-scale, real-time C++ systems.
  • Strong proficiency in modern C++ and understanding of multi-threading, multiprocessing, and operating systems, e.g. ROS.
  • Solid foundation in data structures, algorithms, and software design principles.
  • Familiarity with large-scale map data pipelines and distributed systems.
  • Familiarity with CI/CD systems, and maintaining production-grade infrastructure.
  • Excellent written and verbal communication skills.
  • Self-motivated, comfortable operating without direct supervision.
Preferred Skills:
  • Hands-on experience with mapping and localization algorithms, such as LiDAR/Visual Odometry, SLAM, or Kalman filtering.
  • Experience working on offline 3D reconstruction systems.
$150,000 - $200,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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