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Sensor Fusion Engineer Jobs in Michigan (NOW HIRING)

Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the ... Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.

Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the ... Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.

Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware engineers on PCB, power, and signal design to ensure seamless system integration * Debug, test ...

Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware engineers on PCB, power, and signal design to ensure seamless system integration * Debug, test ...

Contract Software Engineer (Irl & US) Responsibilities: * Define, own and standardize the product ... sensor fusion with ultrasonics, radar and lidar * Ensure competitive technical solutions and ...

Senior Software Engineer - Core

Detroit, MI · Remote

$121K - $159K/yr

Integrate low level, tracking, inference and sensor fusion algorithms into production services ... Contribute to a healthy, high-trust engineering culture where good ideas can come from anywhere.

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Sensor Fusion Engineer information

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$35.7K

$77.5K

$119.8K

How much do sensor fusion engineer jobs pay per year?

As of Jun 13, 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 are the key skills and qualifications needed to thrive in the Sensor Fusion Engineer position, and why are they important?

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 does a typical day look like for a Sensor Fusion Engineer working on autonomous systems?

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 is a Sensor Fusion Engineer job?

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 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:
Infographic showing various Sensor Fusion Engineer job openings in Michigan as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $77,481 per year, or $37.3 per hour.
Senior Autonomous Perception Engineer (Sensor Fusion & Calibration) IRC295015

Senior Autonomous Perception Engineer (Sensor Fusion & Calibration) IRC295015

GlobalLogic

Troy, MI • On-site, Remote

$110K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

122nd of 189 rated software companies


Job description

Description
Salary Verbiage:
GlobalLogic estimates the starting pay range for this role to be performed onsite in Detroit, MI is $110,000 - $120,000 and reflects base salary only. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
We are seeking a highly skilled Perception Engineer to join our core engineering team. You will be responsible for the design, implementation, and optimization of cutting-edge computer vision and deep learning algorithms that allow our autonomous systems to "see" and interpret the world. This role focuses on the fusion of Camera and LiDAR data to ensure robust performance across diverse and challenging environments.
Requirements
Minimum 3+ years of experience in sensor calibration, multi-sensor fusion, or related domains.
Strong foundation in linear algebra, 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.
Hands-on experience with intrinsic and extrinsic calibration of LiDAR, cameras, and radar, including geometric calibration, coordinate transforms, and sensor synchronization.
Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities.
Deep understanding of LiDAR technology, point cloud data structures, and processing techniques; experience with PCL or Open3D.
Proficiency in sensor fusion for combining data from LiDAR, camera, radar, and GNSS, including handling time synchronization and motion distortion.
Solid background in computer vision techniques; experience with OpenCV and object detection models such as YOLO, Faster R-CNN, or SSD.
Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and tracking tasks.
Hands-on experience with multi-object tracking algorithms such as SORT, DeepSORT, Kalman Filters, UKF, IMM, or JPDA.
Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.
Familiarity with ROS2 for perception-based autonomous systems development.
Experience with parallel computing for real-time performance optimization (e.g., CUDA, OpenCL).
Job responsibilities
Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS.
Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems.
Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data.
Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
Participate in real-time systems design and optimization to meet the high-performance requirements of autonomous driving.
Work with ROS2 for integration and deployment of perception algorithms.
Develop, test, and deploy machine learning models for perception tasks such as object detection and tracking.
Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.
What we offer
Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.
Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.
Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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