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Flex Sensor Fusion Engineer Jobs in Michigan (NOW HIRING)

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 ...

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 ...

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Flex Sensor Fusion Engineer information

What is the difference between Flex Sensor Fusion Engineer vs Wearable Device Engineer?

AspectFlex Sensor Fusion EngineerWearable Device Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with sensor integrationBachelor's or Master's in Electrical Engineering, Mechanical Engineering, or related fields; experience with wearable tech development
Work EnvironmentResearch labs, tech companies, startups focusing on sensor data processingConsumer electronics companies, health tech firms, startups developing wearable products
Industry UsageSensor data fusion, robotics, human-machine interfacesHealth monitoring, fitness devices, consumer wearables

The Flex Sensor Fusion Engineer specializes in integrating and processing data from flex sensors for applications like robotics and human interfaces. In contrast, a Wearable Device Engineer focuses on designing and developing wearable products, often incorporating sensors like flex sensors. While both roles require knowledge of sensors and embedded systems, the Flex Sensor Fusion Engineer emphasizes sensor data fusion techniques, whereas the Wearable Device Engineer concentrates on product development and user experience.

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Flex Sensor Fusion Engineer jobs near you
Infographic showing various Flex Sensor Fusion Engineer job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Autonomous Driving Vehicle Perception Engineer

Reveille Technologies

Northville, MI • On-site

Other

Re-posted 4 hours 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

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