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Lidar Data Processing Jobs in California (NOW HIRING)

Waymo

Staff Software Engineer, Privacy

Mountain View, CA · On-site

$251K - $310K/yr

... camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our training sets ... Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc..) and ...

REY Engineers, Inc

Extraction Technician

Folsom, CA · On-site +1

Process and extract topographic and feature data from LiDAR and point cloud datasets (MTLS, UAV, TLS, and bathymetric). * Utilize MicroStation and TopoDOT to develop accurate existing conditions ...

Woolpert

Hydrographic Survey Specialist

Irvine, CA · On-site

Multibeam and Singlebeam Data Processing * GNSS Static Control Network Processing and Adjustment * AutoCAD Civil 3D * Mobile & Static Terrestrial LiDAR Survey Processing (same 3d laser scan) What You ...

Walker River Construction, Inc.

Be Seen First

Survey Party Chief- Heavy Civil Construction

Los Angeles, CA · On-site

$160K - $200K/yr

Bachelor's degree in Civil Engineering, Construction Management, Geomatics, or a related field. · Experience with LiDAR data processing and surface modeling. · Experience on dam, water resources ...

Urgent

Walker River Construction, Inc.

Be Seen First

Survey Party Chief- Heavy Civil Construction

Los Angeles, CA · On-site

$160K - $200K/yr

Bachelor's degree in Civil Engineering, Construction Management, Geomatics, or a related field. · Experience with LiDAR data processing and surface modeling. · Experience on dam, water resources ...

Urgent

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All JobsLidar Data Processing JobsLidar Data Processing Jobs in California

Lidar Data Processing information

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$12

$20

$34

How much do lidar data processing jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for lidar data processing in California is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 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.
What are the most commonly searched types of Lidar Data Processing jobs in California? The most popular types of Lidar Data Processing jobs in California are:
What are popular job titles related to Lidar Data Processing jobs in California? For Lidar Data Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Lidar Data Processing jobs in California look for? The top searched job categories for Lidar Data Processing jobs in California are:
Lidar Data Processing jobs near you
Infographic showing various Lidar Data Processing job openings in California as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 52% In-person, and 48% Remote job distribution, with an average salary of $41,601 per year, or $20 per hour.
Lidar Verification and Validation Engineer

Lidar Verification and Validation Engineer

Aeva, Inc.

Mountain View, CA

$103K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

About us:
Aeva's mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions.
 
Role Overview:
We are seeking a highly skilled and motivated Verification and Validation (V&V) Engineer to join our team, focusing on the rigorous testing and quality assurance of our cutting-edge LiDAR products. This role is ideal for a hands-on engineer with strong programming skills, a passion for data analysis, and experience in building robust test solutions for complex systems.
What you'll be doing:
  • Design, develop, and deploy V&V hardware and software test solutions, systems, and automated test fixtures necessary for comprehensive Lidar sensor characterisation and validation.
  • Contribute significantly to the implementation and maintenance of the test software architecture using industry best practices.
  • Utilize strong Python skills to develop scripts and programs for test automation, data acquisition from sensors, and post-processing of results.
  • Design and develop scenes containing objects placed at several range locations to characterize Lidar systems is a controlled environment.
  • Execute detailed test plans, protocols, and test cases (functional, performance, reliability, environmental, etc.) on Lidar systems.
  • Manage, process, and analyze large datasets generated from testing activities to identify performance trends, system anomalies, and root causes of failures.
  • Generate accurate and timely V&V reports, including detailed test results, summaries, and documentation required for compliance and internal review.
  • Collaborate closely with cross-functional teams (R&D, Hardware, Software) to review requirements, ensure testability, and drive timely issue resolution.
  • Participate in defining and refining the overall V&V strategy and best practices under the guidance of the V&V Manager.
What you'll have:
  • BS in Computer Science, Electrical Engineering, or a related technical field.
  • Minimum of 3+ years of hands-on experience in Verification and Validation, Test Engineering, or Quality Assurance for complex hardware/software systems.
  • Experience working with electromechanical or optical systems (experience with Lidar or similar sensor technology is a strong plus).
  • Strong proficiency in Python for test scripting, automation, and data analysis.
  • Proven experience contributing to or implementing test software architecture and frameworks.
  • Experience with data analysis techniques and tools for handling large datasets (e.g., Pandas, NumPy, MATLAB).
  • Familiarity with version control systems (e.g., Git).
  • Knowledge of measurement instruments and data acquisition hardware.
  • Excellent written and verbal communication skills with demonstrated ability in report generation.
  • Highly analytical, methodical approach to problem-solving, and meticulous attention to detail.
Nice to Have
  • System-level understanding of Lidar systems, including optics, mechanics, signal processing, and embedded software.
  • Experience with Lidar perception concepts (e.g., point cloud processing, object detection) or other automotive sensor modalities (camera, radar).
  • Familiarity with industry standards for safety-critical systems, such as automotive safety (e.g., ISO 26262).
What's in it for you:
  • Be part of an early start-up that's backed by industry-leading venture capitalists
  • Very competitive compensation and meaningful equity!
  • Exceptional benefits: Medical, Dental, Vision, and more!
  • 401k matching
  • Unlimited PTO: We care about results, not punching timecards
  • Paid lunches, ping pong tournaments, and fun team off-sites!
$103,900 - $140,600 a year
Salary pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, certifications, qualifications, relevant education or training, and market conditions. These ranges are subject to change in the future.
 
Depending on the position offered, equity, bonus, and other forms of compensation may be provided as part of a total compensation package, in addition to comprehensive medical, dental, and vision coverage, pre-tax commuter and health care/dependent care accounts, 401k plan, life and disability benefits, flexible time off, paid parental leave, and 11 paid holidays annually.
Aeva is an Equal Opportunity Employer including protected Veterans and individuals with disabilities.
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About AEVA

Sourced by ZipRecruiter

Industry

Manufacturing and manufacturing

Company size

1 - 10 Employees

Headquarters location

Palo Alto, CA, US

Year founded

2017

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