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Full Time Lidar Mapping Jobs (NOW HIRING)

Indiana Employment Type: Full-Time Continue your career with purpose. Build communities with impact ... Integrate and manage data from UAS, terrestrial LiDAR, and mobile mapping platforms. * Review and ...

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Full Time Lidar Mapping information

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$33.5K

$90.8K

$135.5K

How much do full time lidar mapping jobs pay per year?

As of Aug 11, 2026, the average yearly pay for full time lidar mapping in the United States is $90,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a full time LiDAR mapping job?

A Full Time Lidar Mapping job involves using Light Detection and Ranging (LiDAR) technology to collect, process, and analyze geospatial data. Professionals in this role typically work on projects related to mapping terrain, infrastructure, or vegetation for industries such as surveying, forestry, engineering, and urban planning. Tasks may include operating LiDAR equipment, managing data acquisition in the field, processing large datasets, and producing detailed maps or 3D models. Full-time positions often require technical skills in GIS software, data analysis, and sometimes programming. This role offers the opportunity to work both outdoors and in an office environment, contributing to projects that require precise spatial information.

What is the difference between Full Time Lidar Mapping vs Full Time GIS Technician?

AspectFull Time Lidar MappingFull Time GIS Technician
CredentialsTypically requires GIS or remote sensing certifications, CAD skills, and lidar-specific trainingRequires GIS certifications, cartography, and spatial data management skills
Work EnvironmentField data collection, aerial or terrestrial lidar surveys, office processingOffice-based, working with GIS software, data analysis, and map creation
Industry UsageUsed in surveying, infrastructure, environmental projectsUsed in urban planning, government agencies, utilities

Full Time Lidar Mapping specialists focus on collecting and processing lidar data, often involving field surveys and specialized equipment. Full Time GIS Technicians primarily handle spatial data management and map creation in office settings. While both roles require GIS knowledge, lidar mapping emphasizes data collection and sensor operation, whereas GIS technicians focus on data analysis and cartography.

What are some typical challenges faced by professionals in full time LiDAR mapping roles, and how can they be addressed?

One common challenge in full-time LiDAR mapping is managing and processing the large volumes of data collected during fieldwork, which requires both technical skills and efficient workflows. Additionally, ensuring data accuracy and dealing with environmental factors, such as weather or terrain, can impact project timelines. Collaboration with surveyors, GIS specialists, and project managers is key to troubleshooting issues and delivering reliable results. Staying updated on the latest software and hardware advancements also helps professionals remain effective and competitive in this evolving field.

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

To excel as a Full Time Lidar Mapping Specialist, you need expertise in geospatial data collection, remote sensing, and a relevant degree in geography, engineering, or a related field. Familiarity with Lidar hardware, GIS software (such as ArcGIS or QGIS), and data processing tools is typically required, along with certifications like ASPRS Certified Mapping Scientist. Attention to detail, problem-solving, and strong communication skills help professionals interpret complex data and collaborate with multidisciplinary teams. These competencies ensure accurate data acquisition, effective project delivery, and valuable insights for clients in applications such as infrastructure, environmental monitoring, and urban planning.
More about Full Time Lidar Mapping jobs
What cities are hiring for Full Time Lidar Mapping jobs? Cities with the most Full Time 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 Full Time Lidar Mapping jobs? States with the most job openings for Full Time Lidar Mapping jobs include:
What job categories do people searching Full Time Lidar Mapping jobs look for? The top searched job categories for Full Time Lidar Mapping jobs are:
Infographic showing various Full Time Lidar Mapping job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $90,829 per year, or $43.7 per hour.

Senior ML Engineer, Perception: Auto-labeling

Rivian

Palo Alto, CA • On-site

$179K - $223K/yr

Full-time

Medical, Dental, Vision

Posted 25 days ago


Rivian rating

7.3

Company rating: 7.3 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

20th of 44 rated automakers


Job description

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. 


Role Summary

Auto-labelling is a foundational pillar of the Autonomy stack. In this Senior ML Engineer role, you will play a key role in delivering high-quality, scalable auto-labeling models. This includes training, optimizing and shipping auto-labeling models in the Autonomy stack. Use cases include mapping, lanes auto-labelling, object auto-labelling as well as other critical applications. You will ship production-grade models that push the boundaries of what’s possible. As such, you will also contribute to the whole end-to-end ML lifecycle & data flywheel of this effort: data acquisition, metrics definition, evaluation, model performance optimization, feedback loop. A key part of the role is especially dedicated to lidar-free auto-labeling, i.e. ship auto-labeling models that do not require lidar data.


Responsibilities
  • Deliver prod-grade, high-quality, scalable auto-labeling models. Use cases include AV mapping, lanes auto-labelling and/or object auto-labelling, among other critical applications.
  • Train, optimize, ship auto-labeling models in the Autonomy stack, and continuously improve their performance.
  • Deliver auto-labeling with and without lidar data.
  • Establish rigorous evaluation and monitoring benchmarks. Identify and root-cause top-tier system anomalies, prioritizing high-impact optimizations to continuously push the needle on performance.
  • Partner closely with the Autonomy group to ensure we meet the feature requirements

Qualifications
  • Education: BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a highly related quantitative field.
  • Experience: 5+ years of professional experience building and scaling ML solutions, with a strong focus on the following:
    • AV auto-labeling system at scale: Proven track record of hands-on experience delivering auto-labeling models for Autonomous Vehicles at scale. Auto labeling for mapping, lanes auto-labelling and/or object auto labelling.
    • Perception stack: solid understanding of the AV perception stack.
    • System engineering: Strong proficiency in Python alongside a solid understanding of modern Perception pipelines, benchmarking tools, and infrastructure.
    • Execution: Demonstrated ability to drive progress across a complex, multi-domain system, in a fast-paced environment.

Preferred Qualifications

  • Experience in one of the following auto-labeling applications: mapping, lanes auto-labelling or object auto-labelling.
  • Experience in Lidar-free auto-labeling
  • Experience in mapping, especially from multiple vehicle passes and/or lidar-free mapping.
  • Experience in complex,multi-modal, large-scale data flywheel
  • Experience with multiple modalities (e.g., cameras, LiDAR, Radar).
  • Experience with onboard edge deployment, cloud inference architectures, and balancing compute/efficiency trade-offs

Pay Disclosure

Salary Range for California Based Applicants: $179,000 - $223,000 (actual compensation will be determined based on experience, location, and other factors permitted by law).


Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian overs most of the premiums.



Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy and Technology

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. 

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.  

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.
 

Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.

Please note that we are currently not accepting applications from third party application services.

Qualifications:
  • Education: BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a highly related quantitative field.
  • Experience: 5+ years of professional experience building and scaling ML solutions, with a strong focus on the following:
    • AV auto-labeling system at scale: Proven track record of hands-on experience delivering auto-labeling models for Autonomous Vehicles at scale. Auto labeling for mapping, lanes auto-labelling and/or object auto labelling.
    • Perception stack: solid understanding of the AV perception stack.
    • System engineering: Strong proficiency in Python alongside a solid understanding of modern Perception pipelines, benchmarking tools, and infrastructure.
    • Execution: Demonstrated ability to drive progress across a complex, multi-domain system, in a fast-paced environment.

Preferred Qualifications

  • Experience in one of the following auto-labeling applications: mapping, lanes auto-labelling or object auto-labelling.
  • Experience in Lidar-free auto-labeling
  • Experience in mapping, especially from multiple vehicle passes and/or lidar-free mapping.
  • Experience in complex,multi-modal, large-scale data flywheel
  • Experience with multiple modalities (e.g., cameras, LiDAR, Radar).
  • Experience with onboard edge deployment, cloud inference architectures, and balancing compute/efficiency trade-offs
Education:UNAVAILABLEEmployment Type: FULL_TIME

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About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009