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Lidar Data Processing Jobs in Texas (NOW HIRING)

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How much do lidar data processing jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for lidar data processing in Texas is $18.88, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.82 per hour, depending on experience, location, and employer.

What is a Lidar Data Processing job?

A Lidar Data Processing job involves handling, analyzing, and interpreting Lidar (Light Detection and Ranging) data to generate accurate 3D models, maps, or other spatial information. Professionals in this role clean and filter raw point cloud data, classify terrain features, and extract meaningful insights for applications like mapping, forestry, urban planning, and autonomous navigation. They use specialized software and algorithms to enhance data quality and ensure precision. This job requires expertise in geospatial analysis, data visualization, and often programming skills to automate processes.

What is the highest paying job in data analytics?

In data analytics, roles such as Data Science Manager, Machine Learning Engineer, and Chief Data Officer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in programming, statistical analysis, and experience with tools like Python, R, or SQL, along with leadership responsibilities. Salary levels vary based on industry, experience, and location.

What is LiDAR data processing?

LiDAR data processing involves converting raw point cloud data collected by LiDAR sensors into usable formats such as 3D models, maps, or terrain models. It includes steps like filtering, classification, and visualization, often using specialized software and programming skills. This process is essential for applications in surveying, mapping, and autonomous systems.

What are some common challenges faced in a Lidar Data Processing role?

Professionals in Lidar Data Processing often encounter challenges such as managing large datasets, ensuring data accuracy, and resolving discrepancies caused by environmental factors like vegetation or buildings. You may need to develop tailored workflows to efficiently process and clean raw lidar data, as well as work closely with project managers and survey teams to meet tight deadlines. Staying updated with advancing software tools and processing techniques is also key, as technology in this field evolves rapidly. Addressing these challenges requires both technical proficiency and strong problem-solving skills, making the work both rewarding and dynamic.

What are the key skills and qualifications needed to thrive in the Lidar Data Processing position, and why are they important?

To thrive in Lidar Data Processing, you need strong skills in geospatial analysis, data accuracy, and the ability to work with 3D point cloud data, often supported by a degree in geography, GIS, or a related field. Familiarity with software such as ArcGIS, LAStools, and CloudCompare, as well as experience with lidar sensors and data formats, is highly valued, and certifications in remote sensing or GIS can be advantageous. Attention to detail, analytical thinking, and effective communication are crucial for interpreting data and collaborating with multidisciplinary teams. These skills enable you to ensure the precise processing, quality control, and delivery of critical spatial information for industries like mapping, engineering, and environmental management.

How to get a job in LiDAR?

To get a job in LiDAR data processing, candidates typically need a background in geospatial sciences, computer science, or engineering, along with skills in data analysis, programming (such as Python or C++), and experience with LiDAR software and tools like LAStools or ArcGIS. Relevant certifications and a strong understanding of 3D data, surveying, or remote sensing can improve employability. Gaining practical experience through internships or projects is also beneficial for entering this specialized field.

How much do LiDAR jobs pay in the US?

LiDAR data processing jobs in the US typically offer salaries ranging from $60,000 to $100,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with specialized skills in GIS, remote sensing, or programming can earn higher wages.
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Lidar Data Processing jobs near you
Infographic showing various Lidar Data Processing job openings in Texas as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $39,272 per year, or $18.9 per hour.

Senior/Staff Software Engineer - Localization & Mapping

Avride

Austin, TX

$121K - $160K/yr

Other

Re-posted 23 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

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