ZipRecruiter

Log In

1

Sensor Fusion Engineer Jobs in Michigan (NOW HIRING)

Optimal Inc.

Robotics Engineer - AMR

Warren, MI · On-site

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

Optimal Inc.

Robotics Engineer - AMR

Warren, MI · On-site

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

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 ...

Cavnue

Senior Software Engineer

Detroit, MI · Remote

$121K - $159K/yr

... sensor fusion directly into C++ and Python production services to deliver real-time insights and ... Contribute to a healthy, high-trust engineering culture where good ideas can come from anywhere.

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 ...

next page

Showing results 1-20

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 Aug 25, 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?

Cities in Michigan with the most Sensor Fusion Engineer job openings:

Sensor Fusion Engineer jobs near you
Infographic showing various Sensor Fusion Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $77,481 per year, or $37.3 per hour.

Autonomous Driving Vehicle Perception Engineer

Reveille Technologies

Northville, MI • On-site

Other

Posted 18 days ago

Job description

ONLY FULLTIME NO CONTRACT

Job Title: Autonomous Driving Vehicle Perception Engineer

Location: Northville, MI (Onsite)

Type: Full-time

About the Role

We are seeking an experienced Perception Engineer to design, build, and deploy real-time perception and multi-sensor fusion algorithms for next-generation autonomous driving systems across LiDAR, camera, radar, and GNSS modalities.

Key Responsibilities

  • Algorithms & Models: 3D Object Detection, Multi-Object Tracking, Semantic Segmentation, Machine Learning (PyTorch, TensorFlow, YOLO, Faster R-CNN, DeepSORT).

  • Localization & SLAM: Graph SLAM, LIO-SAM, Visual-Inertial SLAM, Point Cloud Processing (PCL, Open3D).

  • Sensor Fusion & Calibration: Intrinsic & Extrinsic Calibration, Multi-Sensor Fusion (LiDAR, Camera, Radar, GNSS), Coordinate Transformations, Time Synchronization.

  • System Integration & Optimization: ROS2, C++, Python, Real-Time Systems, Parallel Computing (CUDA, OpenCL).

Key Requirements

  • Experience: 3+ years in sensor calibration, multi-sensor fusion, or autonomous vehicle perception.

  • Core Fundamentals: Strong background in 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.

  • Tech Stack: High proficiency in C++ and Python; hands-on experience with ROS2 and computer vision libraries (OpenCV, PCL, or Open3D).

  • Deep Learning & Tracking: Experience with PyTorch/TensorFlow, object detection models (YOLO, Faster R-CNN), and tracking algorithms (Kalman Filters, DeepSORT, UKF).

  • Optimization: Familiarity with parallel computing platforms (CUDA/OpenCL) for real-time performance.

Thanks and Regards,

Praveenkumar

Apply