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Remote Lidar Data Processing Jobs in Detroit, MI

Cavnue

Senior Software Engineer

Detroit, MI · Remote

$121K - $159K/yr

Experience with high-throughput data processing techniques and integrated build systems like Buck2 ... Remote - $ 150,000 - $200,000 Additional Compensation: The successful candidate may be eligible to ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail ...

May Mobility

Robotics Engineer II

Ann Arbor, MI · On-site +1

... Field Response process * Design and oversee data collection strategies to address ML model ... Functional understanding of lidar, camera and/or radar perception systems and their hardware ...

Ford Motor Company

Senior Software Engineer

Dearborn, MI · On-site +1

$112K - $148K/yr

... distributed, remote team Even better, you may have... * Strongly preferred (experience in several of these) * Python - analysis tooling, data processing, packaging/distribution. * MATLAB ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

You will create large scale data processing pipelines to help researchers build and train novel ... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ...

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All JobsLidar Data Processing JobsRemote Lidar Data Processing JobsRemote Lidar Data Processing Jobs in Detroit, MI

Remote Lidar Data Processing information

See Detroit, MI salary details

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How much do remote lidar data processing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote lidar data processing in Detroit, MI is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.12 per hour, depending on experience, location, and employer.

What is remote lidar data processing?

Remote LiDAR data processing involves handling and analyzing LiDAR (Light Detection and Ranging) data from a location other than where the data was collected. Professionals use specialized software to process large datasets, extract features like terrain models or vegetation, and generate 2D or 3D representations of landscapes. This remote work setup allows teams to collaborate globally, efficiently process data for industries like mapping, forestry, and urban planning, and deliver results without being physically present at the survey site.

What are the key skills and qualifications needed to thrive in remote lidar data processing?

To thrive as a Remote Lidar Data Processing Specialist, you need a solid background in geospatial sciences, data analysis, and remote sensing, often supported by a relevant degree such as geography, GIS, or engineering. Familiarity with specialized software like LAStools, ArcGIS, and Global Mapper, as well as experience with data formats such as LAS and point cloud processing, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for ensuring data accuracy and collaborating with team members. These skills and qualifications are important because they enable precise data interpretation, efficient workflow, and the delivery of high-quality geospatial products to clients.

What are some common challenges faced in remote lidar data processing, and how can they be overcome?

Professionals working in remote Lidar data processing often encounter challenges such as managing large datasets, ensuring data accuracy, and troubleshooting software or hardware compatibility issues. Effective organization and use of cloud-based storage solutions can help handle large volumes of data efficiently. Additionally, staying up-to-date with the latest processing software and regularly participating in team meetings or online forums can aid in resolving technical problems and maintaining data quality. Proactive communication with team members also ensures smooth collaboration, even in a remote work setting.

What is the difference between Remote Lidar Data Processing vs Remote GIS Analyst?

AspectRemote Lidar Data ProcessingRemote GIS Analyst
Required CredentialsTypically requires GIS or remote sensing certifications, technical skills in lidar softwareRequires GIS certifications, spatial analysis skills, and often a degree in geography or related field
Work EnvironmentPrimarily technical, focused on lidar data handling and processing softwareMore analytical, involving spatial data analysis, mapping, and reporting
Industry UsageUsed in surveying, mapping, environmental monitoring, infrastructure planningApplied in urban planning, environmental management, resource allocation

Remote Lidar Data Processing focuses on handling and analyzing lidar point cloud data, while Remote GIS Analysts interpret spatial data for decision-making. Both roles require GIS knowledge but differ in technical focus and application areas.

What are popular job titles related to Remote Lidar Data Processing jobs in Detroit, MI?

For Remote Lidar Data Processing jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Remote Lidar Data Processing jobs in Detroit, MI look for?

The top searched job categories for Remote Lidar Data Processing jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Lidar Data Processing jobs?

Cities near Detroit, MI with the most Remote Lidar Data Processing job openings:

Remote Lidar Data Processing jobs near you

Sr. System Test Engineer - HiL

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team:
Join our Systems Test team, where we validate the safety and performance of Torc's autonomous driving system through hardware-in-the-loop (HiL) testing and simulation. Our team operates at the intersection of software, hardware, and autonomy, ensuring that complex system behaviors are thoroughly tested before deployment to vehicle platforms.
As a Senior Systems Test Engineer - HiL, you will play a key role in designing, building, and executing HiL-based validation strategies for autonomous driving software. You'll work closely with systems, perception, planning, and software teams to ensure seamless integration and high-quality system performance across the autonomy stack.
What You'll Do
  • Design, develop, and maintain HiL test benches to support validation of autonomous driving software and system-level functionality
  • Define and execute test strategies, test cases, and validation plans based on system requirements, safety goals, and integration needs
  • Develop and maintain automated test scripts and frameworks to improve test coverage, repeatability, and efficiency
  • Integrate hardware and software components into HiL environments, managing interfaces, data flows, and synchronization across subsystems
  • Conduct verification and validation (V&V) activities in alignment with safety standards such as ISO 26262
  • Support the integration and validation of new autonomy features across perception, sensor fusion, and vehicle control systems
  • Utilize tools and frameworks such as ROS/ROS2, CAN-based systems, and simulation platforms for testing and debugging
  • Analyze test results, investigate system-level issues, and collaborate cross-functionally to drive resolution
  • Document test procedures, results, and defects, and communicate findings to engineering and program stakeholders
  • Continuously improve HiL infrastructure, tooling, and workflows to support scalable and efficient testing

What You'll Need to Succeed
  • Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience in Electrical Engineering, Computer Science, Robotics, Automotive Engineering, or a related field
  • Strong experience with Hardware-in-the-Loop (HiL) testing, including test bench setup, integration, and maintenance
  • Experience working with HiL platforms such as dSPACE, National Instruments (NI), Vector, or similar systems
  • Solid understanding of autonomous driving systems, including sensors (LiDAR, radar, cameras), perception, sensor fusion, and vehicle dynamics
  • Experience developing and executing test cases and validation plans for complex systems
  • Proficiency in Python and/or C++, with experience building test automation and tooling
  • Experience with ROS/ROS2, including node development, system integration, and debugging tools (e.g., rviz, rosbag)
  • Familiarity with CAN protocols and tools such as CANoe, CANalyzer, or similar
  • Experience integrating complex systems across hardware and software boundaries
  • Strong problem-solving skills and ability to debug system-level issues in complex environments
  • Ability to collaborate effectively with cross-functional teams in a fast-paced environment

Bonus Points
  • Experience testing autonomous vehicles or ADAS systems in production or pre-production environments
  • Familiarity with simulation frameworks or model-based development tools
  • Experience supporting safety-critical system validation and regulatory requirements
  • Experience working in Agile or SAFe environments
  • Exposure to cloud-based data systems or large-scale test data analysis

Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102686
Hiring Range for Job Opening
US Pay Range
$139,000-$166,800 USD

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