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Lidar Engineer Jobs in Michigan (NOW HIRING)

May Mobility

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

... LiDAR, Camera and Radar processing techniques. Preferred : • PhD and/or published research in the described specialty domains. • Familiar with common post-training techniques. • Experience ...

asrcfh

Robotics Engineer

Sterling Heights, MI · On-site

Design and optimize sensor fusion architecture utilizing LiDAR, radar, cameras, GPS, IMUs, and ... Provides mentorship to engineers and reviews code for consistency, maintainability, and adherence ...

asrcfh

Robotics Engineer

Sterling Heights, MI · On-site

Design and optimize sensor fusion architecture utilizing LiDAR, radar, cameras, GPS, IMUs, and ... Provides mentorship to engineers and reviews code for consistency, maintainability, and adherence ...

Ford Motor Company

ADAS Software Engineer

Dearborn, MI

$138K - $171K/yr

... and lidar inputs. 9. Develop production embedded software in RTOS development environments. 10. ... ADAS Software Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this ...

Torc Robotics

Hardware Engineer I - Sensors

Ann Arbor, MI · On-site

$98K - $118K/yr

We are currently seeking a Hardware Engineer I who is enthusiastic about thriving in a hands-on ... Experience working with sensor modalities including LiDAR, Radar, Camera, Microphones, Inertial ...

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Lidar Engineer information

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$46

$66

How much do lidar engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for lidar engineer in Michigan is $46.74, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $54.28 per hour, depending on experience, location, and employer.

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 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 most commonly searched types of Lidar Engineer jobs in Michigan? The most popular types of Lidar Engineer jobs in Michigan are:
What are popular job titles related to Lidar Engineer jobs in Michigan? For Lidar Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Lidar Engineer jobs in Michigan look for? The top searched job categories for Lidar Engineer jobs in Michigan are:
Lidar Engineer jobs near you
Infographic showing various Lidar Engineer job openings in Michigan as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

Lead Machine Learning Engineer

May Mobility

Ann Arbor, MI • On-site

$100K - $132K/yr

Full-time

Re-posted 11 days ago

Job description

Job Summary:
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. They are seeking a Lead Machine Learning Engineer to enhance their Machine Learning capabilities for autonomous vehicles, focusing on designing and evaluating state-of-the-art models and leading small teams of engineers.
Responsibilities:
• Design, train and evaluate state of the art models for May's autonomous driving, simulation and ML Platform stack.
• Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.
• Lead small teams of cross functional Engineers beyond the state of the art.
• Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale.
Qualifications:
Required:
• Extensive practical experience in one of the following domains: Vision Language Action Models, Generative World Models, Foundation Models in Robotics, Data Centric AI
• A minimum of 4 years of industry experience working on commercial robotics systems.
• A minimum of 1 year mentoring ML Engineers in a commercial or lab environment.
• Master's degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.
• Practical experience handling the 'Long Tail' problem in Machine Learning.
• Strong programming skills in Python/PyTorch in a Linux environment.
• Functional understanding of LiDAR, Camera and Radar processing techniques.
Preferred:
• PhD and/or published research in the described specialty domains.
• Familiar with common post-training techniques.
• Experience deploying models to resource constrained and edge hardware
• Functional understanding of C/C++/CUDA memory and threading models.
Company:
May Mobility is a manufacturing firm that designs and develops autonomous technology vehicles for self-driving transportation solutions. Founded in 2017, the company is headquartered in Ann Arbor, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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