ZipRecruiter

Log In

1

Senior Lidar Engineer Jobs in Michigan (NOW HIRING)

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior ... LiDAR. * Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

next page

Showing results 1-20

All JobsLidar Engineer JobsSenior Lidar Engineer JobsSenior Lidar Engineer Jobs in Michigan

Senior Lidar Engineer information

What does a senior lidar engineer do?

A Senior Lidar Engineer is responsible for designing, developing, and optimizing lidar systems used for applications such as autonomous vehicles, mapping, and robotics. They lead technical projects, analyze lidar data, and work on integrating lidar sensors with hardware and software platforms. Additionally, they may mentor junior engineers and collaborate with cross-functional teams to ensure successful implementation of lidar solutions.

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

To thrive as a Senior Lidar Engineer, you need advanced knowledge of lidar technology, sensor integration, signal processing, and a relevant degree in engineering, physics, or a related field. Experience with software tools like MATLAB, Python, ROS, and CAD systems, as well as familiarity with hardware prototyping and industry certifications, is highly valued. Strong problem-solving abilities, project management, and effective communication help you lead teams and collaborate across disciplines. These skills ensure the successful development and deployment of high-performance lidar systems in complex environments.

What are some common challenges faced by senior lidar engineers when integrating lidar systems into autonomous vehicles?

Senior Lidar Engineers often encounter challenges related to sensor fusion, data accuracy, and real-time processing when integrating lidar systems into autonomous vehicles. Ensuring seamless communication between lidar hardware, software, and other sensors (like cameras and radar) requires strong collaboration with multidisciplinary teams. Additionally, optimizing lidar performance in varying environmental conditions and reducing false positives are key ongoing tasks. Overcoming these challenges involves continuous testing, algorithm refinement, and close coordination with software, hardware, and validation teams.

What is the difference between Senior Lidar Engineer vs Lidar Software Engineer?

AspectSenior Lidar EngineerLidar Software Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; experience in lidar systemsBachelor's or Master's in Computer Science, Software Engineering, or related field; programming skills
Work EnvironmentDesigning, testing, and deploying lidar hardware and systemsDeveloping software for lidar data processing and analysis
Industry UsageAutonomous vehicles, robotics, mappingAutonomous systems, data analysis, software development

The main difference is that Senior Lidar Engineers focus on hardware design and system integration, while Lidar Software Engineers specialize in developing software for lidar data processing. Both roles often collaborate but require different technical skills and focus areas.

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

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

What job categories do people searching Senior Lidar Engineer jobs in Michigan look for?

The top searched job categories for Senior Lidar Engineer jobs in Michigan are:

What cities in Michigan are hiring for Senior Lidar Engineer jobs?

Cities in Michigan with the most Senior Lidar Engineer job openings:

Senior Lidar Engineer jobs near you

Senior Robotic AI-Perception Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$98K - $134K/yr

Contractor

Re-posted 29 days ago

Job description

Role: Senior Robotic AI-Perception Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)
 
Key Responsibilities:
· Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
· Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
· Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
· Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
· Develop offline tools to test and validate perception models in both simulation and real-world environments.
· Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
· Generate intellectual property, document results, and publish papers.
 
Required Qualifications:
· Passion for robotics and a strong desire to accelerate the application of robotics with AI.
· Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
· 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
· Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
· Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
· Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.
 
Preferred Qualifications:
· Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
· Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
· Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
· Understanding of CI/CD pipelines and modern software development practices.