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Lidar Engineer Salary Jobs (NOW HIRING)

Evaluate and compare lidar technologies to drive down-selection decisions with customer teams ... The salary range listed in this posting is representative of the range of levels Zoox is ...

New

Lidar Calibration Analyst

Fairfax, VA · On-site

$55K - $71K/yr

... and engineering firm. The firm succeeds through the individual and collaborative skills of its ... Salary Range The projected range for this position is $55,000-$71,000 annually. Depending upon ...

The salary for this position is approximately $75,000 - $85,000/year. This is a fully remote ... engineering and technology solutions. Founded on a legacy of excellence dating back to 1993 ...

The salary for this position is approximately $75,000 - $85,000/year. This is a fully remote ... engineering and technology solutions. Founded on a legacy of excellence dating back to 1993 ...

Senior Software Engineer

Sunnyvale, CA · On-site

$100K - $200K/yr

Seyond is a leading global provider of image-grade LiDAR technology, powering a safer, smarter and ... Even more importantly, please note that salary is only one component of total compensation at ...

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Lidar Engineer Salary information

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$38K

$115.9K

$191.5K

How much do lidar engineer salary jobs pay per year?

As of Aug 6, 2026, the average yearly pay for lidar engineer salary in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the average salary of a LiDAR engineer?

The average salary of a Lidar Engineer in the United States typically ranges from $80,000 to $120,000 per year, depending on experience, location, and the industry they work in. More experienced Lidar Engineers or those with advanced degrees and specialized skills can earn upwards of $130,000 annually. Salaries may also be higher in sectors like autonomous vehicles, aerospace, and defense. Benefits and bonuses can further increase total compensation.

What are the key skills and qualifications needed to thrive as a LiDAR engineer, and why are they important?

To thrive as a Lidar Engineer, you need a strong background in electrical engineering, physics, or computer science, along with experience in lidar technology and sensor integration. Familiarity with CAD software, simulation tools, and programming languages like Python or C++, as well as knowledge of industry standards, is typically required. Strong problem-solving skills, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and troubleshooting technical issues. These skills and qualities are vital to ensure accurate data acquisition, system reliability, and successful deployment of lidar solutions in real-world applications.

What factors can influence the salary range for a LiDAR engineer?

Several factors can impact the salary range for a LiDAR Engineer, including years of experience, level of education, and specific technical skills such as proficiency with point cloud processing, sensor integration, or geospatial analysis. The industry sector—such as autonomous vehicles, surveying, or environmental monitoring—can also affect compensation, as can the size and location of the employer. Additionally, demonstrated expertise in handling large datasets or developing custom LiDAR solutions may lead to higher salary offers and advancement opportunities.

What is the difference between Lidar Engineer Salary vs Photogrammetrist Salary?

AspectLidar Engineer SalaryPhotogrammetrist Salary
Required CredentialsBachelor's in Engineering, Geomatics, or related field; GIS certificationsBachelor's in Geomatics, Geography, or related; GIS certifications
Work EnvironmentTechnology firms, surveying companies, autonomous vehicle industryMapping agencies, surveying firms, environmental consulting
Industry UsageAutonomous vehicles, robotics, infrastructure mappingTopographic mapping, land surveying, environmental studies

Both roles require expertise in geospatial data, GIS, and surveying techniques. While Lidar Engineers focus on laser scanning technology for 3D mapping, Photogrammetrists primarily use aerial imagery for mapping. Salaries vary based on experience and industry, but both are vital in geospatial fields.

More about Lidar Engineer Salary jobs
What cities are hiring for Lidar Engineer Salary jobs? Cities with the most Lidar Engineer Salary job openings:
What states have the most Lidar Engineer Salary jobs? States with the most job openings for Lidar Engineer Salary jobs include:
Infographic showing various Lidar Engineer Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Senior / Staff Lidar Engineer

Zoox

Foster City, CA • On-site

$217K - $300K/yr

Full-time

Posted 2 days ago

New


Job description

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of artificial intelligence, robotics, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team

In this role, Zoox is looking for a candidate with a background in lidar to support hardware selection and validation for autonomous vehicles. In this role, candidates are expected to:

in This Role, You Will:
  • Evaluate and compare lidar technologies to drive down-selection decisions with customer teams.
  • Develop test plans, perform testing, and report results for lidar systems, including procedures that are traceable to corresponding system requirements.
  • Generate, analyze, and interpret large LiDAR datasets for KPIs/metrics across a variety of scenarios and conditions.
  • Lead root-cause analysis, corrective action, and validation for fleet issues, with internal and external entities.
  • Support and maintain lidar at scale in an autonomous vehicle fleet.
  • Deliver traceable, testable lidar requirements, enforcing compliance in the design phase with internal and external stakeholders.
Qualifications
  • B.S., M.S., PhD in Physics, EE, or Optics
  • Minimum 7+ years of experience working with lidar systems
  • Strong understanding of lidar physics, as well as experience with common architectures and technologies in automotive lidar
  • Demonstrated ability to write high-quality, traceable performance requirements for lidar components
  • Experience with functional testing, reliability testing, and qualification of opto-mechanical or opto-electrical systems
  • Experience with optical systems, such as laser technology, detector technology, and imaging technology.
  • Strong technical documentation and communication skills
  • Quantitative, data-driven mindset
Bonus Qualifications
  • Integration of sensors with vehicle platforms
  • Unix/Linux, C++, Python, Git/GitHub, MATLAB
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.