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Sensor Fusion Engineer Jobs in Michigan (NOW HIRING)

Optimal Inc.

Robotics Engineer - AMR

Warren, MI

Robotics Engineer - Autonomous Mobile Robotics (AMR) Position Summary We are seeking a highly ... Design and implement multi-map fusion methods to integrate data from multiple sensor modalities ...

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 ...

Orb Aerospace

Principal Electrical Engineer

Lowell, MI

$90K - $145K/yr

This position will lay out the electrical engineering architecture with considerations for ... Sensor Interfacing and Sensor Fusion * Wireless Communication * Proficiency in reading electrical ...

Orb Aerospace

Principal Electrical Engineer

Lowell, MI · On-site

$90K - $145K/yr

This position will lay out the electrical engineering architecture with considerations for ... Sensor Interfacing and Sensor Fusion * Wireless Communication * Proficiency in reading electrical ...

Orb Aerospace

Principal Electrical Engineer

Lowell, MI · On-site

$90K - $145K/yr

This position will lay out the electrical engineering architecture with considerations for ... Sensor Interfacing and Sensor Fusion * Wireless Communication * Proficiency in reading electrical ...

Torc Robotics

Senior, ML Engineer - Auto Tagging

Ann Arbor, MI · On-site +1

$102K - $140K/yr

... sensor fusion, and generative simulation testing. What You'll Do: * Scenario Mining at Scale ... Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ...

Torc Robotics

Senior, ML Engineer - Auto Tagging

Ann Arbor, MI · On-site +1

$102K - $140K/yr

... sensor fusion, and generative simulation testing. What You'll Do: * Scenario Mining at Scale ... Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ...

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All JobsSensor Fusion Engineer JobsSensor Fusion Engineer Jobs in Michigan

Sensor Fusion Engineer information

See Michigan salary details

$35.7K

$77.5K

$119.8K

How much do sensor fusion engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for sensor fusion engineer in Michigan is $77,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $95,400.00 per year, depending on experience, location, and employer.

What is a sensor fusion engineer?

A Sensor Fusion Engineer develops algorithms and systems that combine data from multiple sensors (such as cameras, LiDAR, radar, and IMUs) to create a more accurate and reliable representation of the environment. They work in fields like autonomous vehicles, robotics, and aerospace, using techniques such as Kalman filtering, statistical modeling, and machine learning. Their role involves sensor calibration, data processing, and software development to improve perception, localization, and decision-making systems.

What does a sensor fusion engineer do?

As a Sensor Fusion Engineer in the field of autonomous systems, your day will often involve developing algorithms to combine data from different sensors such as cameras, LiDAR, radar, or IMUs. You'll collaborate closely with software, hardware, and testing teams to ensure data integration is robust and optimized for real-time performance. Tasks may include debugging sensor data streams, running simulations, tuning parameters, and conducting tests on actual platforms. Regular team meetings and design reviews help keep projects on track and foster cross-functional problem solving. This dynamic environment requires both independent technical focus and strong teamwork to bring advanced sensor-driven systems to life.

What skills and qualifications are needed to be a sensor fusion engineer?

To thrive as a Sensor Fusion Engineer, you need strong expertise in signal processing, sensor technologies, and algorithms development, typically backed by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages like C++, Python, and MATLAB, as well as experience using simulation tools and frameworks such as ROS or Simulink, are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts effectively are key soft skills for this role. These abilities are critical for integrating and interpreting data from multiple sensors to deliver accurate and reliable system outputs in real-world applications.

What are popular job titles related to Sensor Fusion Engineer jobs in Michigan?

For Sensor Fusion Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Sensor Fusion Engineer jobs in Michigan look for?

The top searched job categories for Sensor Fusion Engineer jobs in Michigan are:

What cities in Michigan are hiring for Sensor Fusion Engineer jobs?

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Sensor Fusion Engineer jobs near you
Infographic showing various Sensor Fusion Engineer job openings in Michigan as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $77,481 per year, or $37.3 per hour.

Robotics Engineer - AMR

Warren, MI

Optimal Inc.
51 - 200 employees
Learn more about Optimal Inc.external

Contractor

Re-posted 9 days ago

Job description

Robotics Engineer - Autonomous Mobile Robotics (AMR)


Position Summary
We are seeking a highly skilled Robotics Engineer to support the development and deployment of next-generation Autonomous Mobile Robot (AMR) systems. This role focuses on advancing autonomous navigation, localization, mapping, and system integration using ROS/ROS2, AI-driven perception, and multi-sensor fusion technologies.
The ideal candidate will have strong experience in robotic software development, autonomous navigation, SLAM, and ROS integration, with the ability to develop and integrate intelligent robotic systems in industrial environments. A Master's degree in Robotics or a related field is preferred.

Key Responsibilities

  • Design, develop, and deploy software for Autonomous Mobile Robot (AMR) platforms using ROS/ROS2.
  • Develop and enhance SLAM algorithms by implementing inertial odometry fusion techniques to improve localization accuracy, efficiency, and robustness in challenging industrial environments.
  • Design and implement multi-map fusion methods to integrate data from multiple sensor modalities into a unified mapping framework for enhanced localization, navigation, and path planning.
  • Develop and integrate AI-based perception and navigation algorithms for autonomous robotic systems.
  • Integrate robotic software with LiDAR, cameras, IMUs, wheel encoders, and other sensing technologies.
  • Develop benchmarking and system integration tools to evaluate internal robotic platforms and commercial off-the-shelf solutions, enabling data-driven system architecture and performance analysis.
  • Integrate ROS with industrial automation systems, including PLC-controlled and standalone robotic environments.
  • Develop, test, validate, and optimize robotic software for real-world industrial deployment.
  • Troubleshoot hardware, software, and communication issues across robotic systems.
  • Collaborate with cross-functional engineering teams to deliver scalable and reliable autonomous robotic solutions.

Required Qualifications

  • Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong experience developing software using ROS/ROS2.
  • Experience with Autonomous Mobile Robots (AMRs) or mobile robotic platforms.
  • Strong understanding of SLAM, localization, sensor fusion, mapping, and autonomous navigation.
  • Experience integrating AI/ML algorithms into robotic perception or navigation systems.
  • Experience integrating LiDAR, cameras, IMUs, and other robotic sensors.
  • Experience with industrial automation and PLC integration is a plus.
  • Proficiency in C++ and Python.
  • Strong debugging, testing, and system integration skills.

Preferred Qualifications

  • Experience with navigation frameworks such as Nav2 and localization packages including AMCL.
  • Experience with motion planning, path planning, obstacle avoidance, and autonomous navigation.
  • Experience with sensor fusion frameworks (Kalman Filter, Extended Kalman Filter, factor graph optimization, or similar).
  • Experience with Gazebo, Isaac Sim, or other robotics simulation environments.
  • Experience deploying robotics solutions in manufacturing, warehouse automation, or industrial environments.

Apply