1

Image Processing Engineer Jobs in Michigan (NOW HIRING)

We are seeking aspiring engineers, signals processors, and physicists excited to join our team that ... We are developing the next generation of signal and image processing software, building on our 80 ...

We are seeking aspiring engineers, signals processors, and physicists excited to join our team that ... We are developing the next generation of signal and image processing software, building on our 80 ...

... image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: * Understand business requirements ...

We are seeking aspiring engineers, signals processors, and physicists excited to join our team that ... We are developing the next generation of signal and image processing software, building on our 80 ...

We are seeking aspiring engineers, signals processors, and physicists excited to join our team that ... We are developing the next generation of signal and image processing software, building on our 80 ...

The Role As a Stamping Vision Engineer you will be responsible for design, implementation, and ... Strong understanding of image processing algorithms, optics, and lighting principles. * Hands-on ...

The Role As a Stamping Vision Engineer you will be responsible for design, implementation, and ... Strong understanding of image processing algorithms, optics, and lighting principles. * Hands-on ...

next page

Showing results 1-20

Image Processing Engineer information

See Michigan salary details

$4

$54

$78

How much do image processing engineer jobs pay per hour?

As of May 31, 2026, the average hourly pay for image processing engineer in Michigan is $54.55, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $58.27 per hour, depending on experience, location, and employer.

What Does an Image Processing Engineer Do?

An image processing engineer assists with the entire life cycle of data classification algorithms and image processing for a company. Your responsibilities in this career are to analyze data, write reports, develop methods for feature extraction and classification, research basic to advanced image processing algorithms, give presentations, and create visual interpretations of data. Your duties also include working on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences. You also develop algorithms for real 3D images and accurate wireless tracking.

What are the key skills and qualifications needed to thrive as an Image Processing Engineer, and why are they important?

To thrive as an Image Processing Engineer, you need a strong background in mathematics, computer vision, and programming (often with a degree in computer science, electrical engineering, or a related field). Familiarity with tools and libraries such as OpenCV, MATLAB, Python, and machine learning frameworks is typically expected, along with experience in image analysis algorithms. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with multidisciplinary teams and interpret complex results. These skills are crucial for developing robust image processing solutions that meet technical requirements and drive innovation in fields like healthcare, automotive, and security.

What are some common challenges Image Processing Engineers face when working on cross-functional teams?

Image Processing Engineers often collaborate with data scientists, software developers, and hardware engineers, which can present challenges in aligning technical requirements and timelines. One frequent hurdle is ensuring that image processing algorithms integrate seamlessly with broader system architectures, especially when resources or real-time performance constraints are involved. Clear communication and adaptability are key, as team members may have differing levels of understanding of image processing concepts. Building strong collaborative relationships and regularly sharing progress can help overcome these challenges and ensure project success.

What is the difference between Image Processing Engineer vs Computer Vision Engineer?

AspectImage Processing EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of image processing algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; expertise in computer vision techniques
Work EnvironmentResearch labs, tech companies, imaging hardware firmsTech companies, autonomous vehicles, robotics, AI firms
Industry UsageFocus on image enhancement, filtering, and analysisFocus on object detection, scene understanding, and AI integration

While both roles involve working with visual data, Image Processing Engineers primarily focus on improving and analyzing images through algorithms, whereas Computer Vision Engineers develop systems that interpret and understand visual information for applications like autonomous vehicles and AI. The roles often overlap but differ in their core objectives and application areas.

What are the most commonly searched types of Image Processing Engineer jobs in Michigan? The most popular types of Image Processing Engineer jobs in Michigan are:
What are popular job titles related to Image Processing Engineer jobs in Michigan? For Image Processing Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Image Processing Engineer jobs in Michigan look for? The top searched job categories for Image Processing Engineer jobs in Michigan are:
What are popular job titles related to Image Processing Engineer jobs in MI? For Image Processing Engineer jobs in MI, the most frequently searched job titles are:
Infographic showing various Image Processing Engineer job openings in Michigan as of May 2026, with employment types broken down into 2% As Needed, 69% Full Time, 16% Part Time, 4% Temporary, and 9% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $113,456 per year, or $54.5 per hour.
Senior Perception Engineer - Computer Vision & 3D Deep Learning IRC295016

Senior Perception Engineer - Computer Vision & 3D Deep Learning IRC295016

GlobalLogic

Northville, MI • On-site

$99.30K - $136.40K/yr

Full-time

Posted 19 days ago


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

117th of 184 rated software companies


Job description

Job Summary:
GlobalLogic is a trusted digital engineering partner to some of the world’s largest companies, and they are seeking a Senior Perception Engineer specializing in computer vision and deep learning. The role involves designing and implementing algorithms for object detection and segmentation, utilizing camera and LiDAR data fusion, and developing robust perception models for various conditions.
Responsibilities:
• Design and implement computer vision algorithms for object detection and segmentation using camera and LiDAR data fusion.
• Develop deep learning models for 2D and 3D object detection, including implementation and optimization of YOLO, Faster R-CNN, SSD, and transformer-based architectures.
• Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation.
• Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy.
• Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN, U-Net, and DeepLab.
• Implement and optimize deep learning models specifically designed for LiDAR point clouds, including PointNet, PointNet++, and other 3D neural network architectures.
• Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
• Build and maintain computer vision pipelines using OpenCV for image preprocessing, feature extraction, and geometric transformations.
• Design and implement multi-object tracking systems using Kalman filtering, SORT, and DeepSORT algorithms.
• Work with ROS2 for integration and deployment of perception algorithms.
• Optimize deep learning models for edge deployment and real-time inference performance.
• Develop robust evaluation metrics and testing frameworks for object detection systems.
• 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.
Qualifications:
Required:
• Strong expertise in computer vision and deep learning for object detection and segmentation tasks.
• Proficiency in deep learning frameworks (PyTorch and TensorFlow) with hands-on experience implementing detection models (YOLO, Faster R-CNN, SSD, RetinaNet, Detectron, etc.).
• Extensive experience with OpenCV for image processing and computer vision applications.
• Solid background in 3D perception using LiDAR point clouds; proficiency with PCL and Open3D libraries.
• Familiarity with LiDAR-specific deep learning models such as PointNet, PointNet++, VoxelNet, and other point cloud neural network architectures.
• Experience in developing and improving perception models for adverse weather conditions (rain, snow, fog) including domain adaptation and robust feature extraction techniques.
• Experience with sensor fusion techniques for combining camera and LiDAR data streams.
• Strong programming skills in Python and C++ for algorithm development and optimization.
• Experience with model optimization techniques for real-time inference.
• Familiarity with 3D geometry, coordinate transformations, and spatial data processing.
• Knowledge of evaluation metrics for object detection and tracking systems (mAP, IoU, custom metrics, etc.).
Company:
GlobalLogic is a product development services company that specializes in chip-to-cloud software engineering. Founded in 2000, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What GlobalLogic employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom