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Lidar Engineer Jobs (NOW HIRING)

Product Manager - Lidar

San Francisco, CA · On-site

$105K - $195K/yr

Our groundbreaking digital lidar architecture is transforming what's possible, delivering an ... This will include building a strong relationship with our engineering team and acting as the owner ...

Senior Hardware Engineer, Lidar

Pittsburgh, PA · On-site

$107K - $143K/yr

Master's degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field * Experience leading supplier nomination, sourcing, or technical selection for radar or lidar ...

... Software Developers, IT, Project Management Professionals, and more. Responsibilities ... Lidar specifications and requirements Create and understand the production of raster products ...

Product Manager - Lidar

San Francisco, CA · On-site

$105K - $195K/yr

Our groundbreaking digital lidar architecture is transforming what's possible, delivering an ... This will include building a strong relationship with our engineering team and acting as the owner ...

Dewberry is currently seeking a Lidar Calibration Analyst in our Tampa, FL or Fairfax, VA offices ... and engineering firm. The firm succeeds through the individual and collaborative skills of its ...

Lidar Calibration Analyst

Fairfax, VA · On-site +1

$55K - $71K/yr

Dewberry is currently seeking a Lidar Calibration Analyst in our Tampa, FL or Fairfax, VA offices ... and engineering firm. The firm succeeds through the individual and collaborative skills of its ...

... Software Developers, IT, Project Management Professionals, and more. Responsibilities ... lidar point clouds • Know how to fix and address issues found in QC • Produce final ...

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Lidar Engineer information

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How much do lidar engineer jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for lidar engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

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

To thrive as a Lidar Engineer, you need a solid background in physics, mathematics, and optical engineering, as well as experience with lidar systems and data processing, often backed by a relevant engineering degree. Familiarity with lidar data analysis software (such as LAStools, ArcGIS, or CloudCompare), programming languages (like Python or C++), and certifications in remote sensing are highly advantageous. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help set candidates apart. These skills are crucial for developing accurate lidar solutions, troubleshooting complex systems, and ensuring successful project outcomes in multidisciplinary environments.

How much do LIDAR jobs pay in the US?

Lidar engineers in the US typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Entry-level positions may start around $60,000, while senior roles or specialized skills can command higher salaries, especially in industries like autonomous vehicles, mapping, and robotics.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace roles can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level positions typically require extensive experience, advanced skills, and sometimes leadership responsibilities or working in high-paying industries.

What is a Lidar Engineer job?

A Lidar Engineer is responsible for designing, developing, and implementing LiDAR (Light Detection and Ranging) systems for applications such as autonomous vehicles, mapping, and remote sensing. They process and analyze LiDAR data to generate 3D models, improve sensor accuracy, and integrate hardware with software systems. This role requires expertise in laser scanning technology, data processing algorithms, and programming languages like Python or C++. Lidar Engineers often collaborate with robotics, geospatial, and computer vision teams to enhance perception and navigation capabilities.

What are some typical daily tasks for a Lidar Engineer?

As a Lidar Engineer, your daily tasks may include designing and calibrating lidar systems, analyzing point cloud data for accuracy, developing software tools for data processing, and collaborating with surveyors or GIS specialists. You might also troubleshoot hardware or software issues, document technical methodologies, and participate in field tests or deployment. Frequent collaboration with cross-functional teams—such as robotics, automotive, or remote sensing professionals—is common to integrate lidar technologies into broader applications. This hands-on, dynamic role provides exposure to both engineering challenges and real-world implementation, making each day varied and intellectually stimulating.

How to become a LIDAR engineer?

To become a LIDAR engineer, typically a bachelor's degree in electrical engineering, computer science, robotics, or a related field is required. Gaining experience with sensor technologies, programming skills in languages like C++ or Python, and familiarity with 3D mapping and data processing are essential. Advanced roles may require a master's degree or specialized certifications in lidar systems or autonomous vehicle technologies.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles involving leadership, complex technical expertise, or working at major tech companies are more likely to reach this compensation level.
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Infographic showing various Lidar Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
Hardware Engineer, LIDAR Performance Validation

Hardware Engineer, LIDAR Performance Validation

Waymo

Mountain View, CA • Hybrid

$145K - $192K/yr

Other

Posted 10 days ago


Job description

Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.        

This role follows a hybrid work schedule (at least 3 fixed days in the office) and reports to the LiDAR performance lead.

You will:

  • Work closely with electrical, mechanical, manufacturing and reliability engineers to develop and characterize high performance LiDAR systems and electro-optical subsystems
  • Develop bench characterization methods and accompanying physics-based software models to ensure the design is on track to achieve top level performance goals. Develop and maintain performance validation plans that scale appropriately with the design lifecycle from early bench prototypes to high volume production
  • Support definition of appropriate test and calibration procedures to ensure LiDAR data quality at scale. Work with design and test engineers to develop appropriate testing procedures and performance acceptance criteria.
  • Design and oversee execution of LiDAR field measurements and structured tests. Assess impact of environmental conditions on Lidar performance, help develop methods to detect and mitigate data quality impact of adverse environmental factors through experimental design, data mining and analysis
  • Interface with LiDAR software engineers, perception software engineers and systems engineers to help triage field issues related to LiDAR data quality, and aid in requirement derivation to ensure the LiDAR module upholds system-level performance and safety goals
  • Comfortably transition between physics modeling, simulation, large-scale data analysis and hands-on prototyping & testing in the lab

You have:

  • Masters of science with 5+ years experience or PhD in Electrical Engineering, Physics, Applied Physics or equivalent
  • Strong knowledge of depth sensing technologies and hands on experience prototyping/characterizing precision optical, electrical, or mechanical components and assemblies
  • Experience with developing and maintaining physics-based computational models to describe and quantify performance bounds of LiDAR or other optical sensing hardware
  • Track record of innovation and solving challenging technical problems
  • Excellent data analysis, presentation and technical communication skills

We prefer:

  • PhD in Physics, Applied Physics, Electrical Engineering, or a similar field
  • Proficiency with data analysis in Python or C++
  • Experience with designing studies / experiments and hypothesis testing. Previous product development experience is a plus.
  • A track record of working across multiple physics disciplines and hands-on experience with from-scratch analytical physics modeling (e.g. Matlab/Python)
  • Strong understanding of optical semiconductors and optical systems