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Lidar Engineer Jobs in Texas (NOW HIRING)

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... formats (LiDAR, radar, video). - Track heavy equipment trajectories and operational states ... Desired (Nice to Have): - Background in Mining Engineering, Robotics, Autonomous Vehicles, or ...

Senior Software Engineer II

Austin, TX · On-site

$140 - $180/hr

Lead integration of measurement systems (lidar, met mast, sensor networks) with enterprise IT ... Mentor engineers across multiple levels; lead knowledge sharing, documentation, and ...

We are seeking an experienced RF engineer to join our dynamic team and make a significant impact on ... Familiarity with geospatial analysis, digital terrain modeling, and LiDAR-based propagation ...

We are seeking an experienced RF engineer to join our dynamic team and make a significant impact on ... Familiarity with geospatial analysis, digital terrain modeling, and LiDAR-based propagation ...

Autonomous Vehicle Integration Engineer

Dallas, TX · On-site

$102K - $138K/yr

ISEE is seeking a detail-oriented AV Integration Engineer. Role responsibilities include ... GPS, cameras, and LiDAR and automotive communication protocols such as CAN - Passionate about self ...

We are looking for an experienced RF engineer to join our team and contribute to the design and ... Familiarity with geospatial analysis, digital terrain modeling, and LiDAR-based propagation ...

Autonomous Vehicle Integration Engineer

Dallas, TX · On-site

$102K - $138K/yr

ISEE is seeking a detail-oriented AV Integration Engineer. Role responsibilities include ... GPS, cameras, and LiDAR and automotive communication protocols such as CAN - Passionate about self ...

Showing results 41-60

Lidar Engineer information

See Texas salary details

$23

$49

$71

How much do lidar engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for lidar engineer in Texas is $49.97, according to ZipRecruiter salary data. Most workers in this role earn between $40.29 and $57.98 per hour, depending on experience, location, and employer.

What is a lidar engineer?

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 does a lidar engineer do?

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.

What are the key skills and qualifications needed to thrive as a lidar engineer?

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 do you 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 technology, 3D mapping, and programming languages like C++ or Python is important, along with familiarity with Lidar hardware and data processing software. Advanced roles may require a master's degree or specialized certifications in related areas.

What are the most commonly searched types of Lidar Engineer jobs in Texas?

The most popular types of Lidar Engineer jobs in Texas are:

What are popular job titles related to Lidar Engineer jobs in Texas?

For Lidar Engineer jobs in Texas, the most frequently searched job titles are:

Infographic showing various Lidar Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $103,928 per year, or $50 per hour.

Lead Sensor Simulation Engineer (NVIDIA Omniverse)

Caterpillar Financial Services Corporation

Irving, TX • On-site

$128 - $209/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Key responsibilities

  • Develop and maintain high-fidelity simulation models for sensors such as cameras, LiDAR, radar, GNSS, and IMU.

  • Create and implement sensor validation methodologies, compare simulated outputs with real-world data, and drive model improvements.

  • Collaborate with perception and autonomy teams to develop simulation scenarios and support sensor fusion, localization, object detection, and tracking.


Job description

Career Area:

Technology, Digital and Data

Job Description: Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Help Build the Future of Caterpillar –

At Caterpillar, technology always has a purpose, which is to solve our customers’ toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world—on real jobsites, at global scale.

Be Part of What’s Next in Autonomous Construction Sites

Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossible—intelligent machines operating in dynamic jobsites—into reality.

Role Definition

The Sensor Simulation Expert is responsible for the design, development, validation, and continuous improvement of high-fidelity virtual sensor models within the NVIDIA Omniverse ecosystem. This role enables the development of autonomous systems, robotics, digital twins, and virtual validation environments by ensuring simulated sensor outputs accurately represent real-world operating conditions.

The Sensor Simulation Expert serves as the technical authority for virtual sensing technologies, including cameras, LiDAR, radar, GNSS, IMU. Working closely with autonomy, perception, controls, software, and digital twin teams, this individual develops sensor models, validation methodologies, and synthetic data generation pipelines that accelerate product development while reducing reliance on physical testing.

The ideal candidate combines expertise in sensor physics, perception systems, Omniverse development, computer graphics, and simulation technologies to deliver scalable, accurate, and production-ready simulation solutions.

Responsibilities Sensor Modeling & Simulation
  • Develop and maintain high-fidelity simulation models for cameras, LiDAR, radar, GNSS, IMU.
  • Define sensor fidelity requirements and performance metrics for simulation-based testing.
  • Implement realistic sensor characteristics including noise, distortion, motion blur, occlusions, range limitations, environmental interference, and calibration effects.
  • Create configurable sensor models supporting multiple hardware platforms and use cases.
Omniverse Development
  • Develop Omniverse Kit extensions, tools, and workflows for sensor simulation applications.
  • Leverage OpenUSD and Omniverse technologies to integrate sensors into digital twin environments.
  • Create reusable software frameworks for sensor configuration, management, and deployment.
  • Support enterprise-scale simulation platforms and virtual engineering workflows.
Sensor Validation & Correlation
  • Compare and validate simulated sensor outputs against real-world sensor datasets.
  • Establish validation methodologies and acceptance criteria for sensor fidelity.
  • Identify gaps between simulation and physical measurements and drive model improvements.
  • Develop processes for continuous verification and validation of sensor models.
Autonomy & Perception Support
  • Collaborate with perception and autonomy teams to support algorithm development and testing.
  • Develop simulation scenarios that challenge perception systems under complex operating conditions.
  • Support sensor fusion, localization, object detection, tracking, and environmental perception workflows.
  • Enable repeatable testing for autonomous system validation.
Technical Leadership
  • Serve as the organization's subject matter expert for sensor simulation technologies.
  • Mentor engineers on sensor modeling, simulation, and validation best practices.
  • Provide technical guidance on sensor architecture, simulation platforms, and roadmap planning.
  • Evaluate emerging sensor technologies and simulation methodologies.
Required Qualifications
  • Bachelor's degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Physics, or a related technical discipline.
  • 5+ years of experience in sensor development, simulation, robotics, autonomy, perception systems, or related fields.
  • Strong programming skills in Python and C++.
  • Hands‑on experience with NVIDIA Omniverse, Isaac Sim, OpenUSD, or similar simulation platforms.
  • Strong understanding of sensor physics and perception systems.
  • Experience modeling one or more sensor types including camera, LiDAR, radar, GNSS, IMU.
  • Knowledge of robotics, computer vision, autonomy, perception, or machine learning systems.
  • Experience validating simulation results against physical system data.
  • Understanding of synthetic data generation and simulation-based testing methodologies.
  • Knowledge of 3D graphics, rendering concepts, and physically based simulation techniques.
Preferred Qualifications
  • Master's degree or Ph.D. in Robotics, Computer Vision, Electrical Engineering, Computer Graphics, Artificial Intelligence, or a related field.
  • 8+ years of experience in sensor systems, autonomy, simulation, or perception technologies.
  • Advanced expertise with NVIDIA Omniverse, Isaac Sim, RTX rendering, and OpenUSD.
  • Experience with autonomous vehicles, off‑highway equipment, industrial robotics, or intelligent machine systems.
  • Deep knowledge of LiDAR, radar, camera imaging systems, sensor fusion, and localization technologies.
  • Experience developing synthetic data pipelines for AI and machine learning applications.
  • Familiarity with ROS/ROS2, Isaac ROS, and robotics software frameworks.
  • Experience with digital twin development and virtual validation methodologies.
  • Experience supporting enterprise-scale autonomy, digital twin, or simulation programs.
Additional Details:
  • This position requires the candidate to work full-time at the Irving, TX office (Dallas)
  • Domestic relocation assistance is available for this position.
  • Visa sponsorship is available with this position.
Summary Pay Range:

$128,470.00 - $208,770.00

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Benefits:

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part‑time employees

This position requires working onsite five days a week.Relocation is available for this position.Visa sponsorship is available for eligible applicants.

Posting Dates:

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

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