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Opencv Jobs in Michigan (NOW HIRING)

Stellantis

Principal SW Developer

Auburn Hills, MI · On-site

$127K - $171K/yr

OpenCV, ISP tuning, HDR fusion, denoise, demosaic, geometric undistortion, seam-aware stitching * Interfaces: MIPI/CSI, GMSL, FPD, SerDes, I²C * Platforms: Linux BSP, Yocto, embedded SoC video ...

Ford Motor Company

Software Engineer

Redford, MI

Experience with OpenCV, TensorRT, or OpenVINO for vision optimization. * Familiarity with ML frameworks like PyTorch or TensorFlow . * Knowledge of industrial protocols (MQTT, WebSockets) for real ...

VDart, Inc.

Perception Engineer

Detroit, MI

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 ...

Apolis

Perception Engineer

Detroit, MI

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 ...

Mitsubishi Electric Automotive

Perception Intern

Detroit, MI · On-site

$14.75 - $19.75/hr

... OpenCV, etc.). * Participate in code reviews, documentation, and team meetings to learn best practices in research and development. * Stay current with recent advancements in LiDAR perception and ...

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How much do opencv jobs pay per year?

As of Jun 13, 2026, the average yearly pay for opencv in Michigan is $112,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,794.00 and $132,165.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Opencv position, and why are they important?

To succeed as an OpenCV Developer, you should possess strong programming skills in Python or C++, a solid understanding of computer vision fundamentals, and a degree in computer science or related field. Familiarity with OpenCV library, machine learning frameworks, and version control tools such as Git is essential for developing robust vision applications. Excellent problem-solving abilities, teamwork, and clear communication are important soft skills in collaborative development environments. These qualifications ensure high-quality, efficient solutions for image processing and computer vision tasks in a dynamic field.

What is an OpenCV job?

An OpenCV job involves working with OpenCV, an open-source computer vision and machine learning library. Professionals in this role develop applications for image processing, object detection, facial recognition, and real-time video analysis. These jobs are often found in industries like robotics, healthcare, security, and autonomous vehicles. Strong skills in Python or C++, along with experience in deep learning frameworks, are typically required.

What types of projects or industries commonly use OpenCV Developers, and what can I expect to work on in this role?

OpenCV Developers are in high demand across industries such as robotics, automotive (autonomous vehicles), healthcare (medical imaging), manufacturing (quality inspection), and security (facial recognition or surveillance). In this role, you can expect to work on tasks like object detection, image segmentation, real-time video analysis, or integrating vision solutions with hardware. Projects often involve collaborating with data scientists, software engineers, and hardware teams to deliver end-to-end solutions. The work environment is typically collaborative and project-driven, offering ample opportunity to work with cutting-edge technologies and expand specialized expertise.

What are popular job titles related to Opencv jobs in Michigan? For Opencv jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Opencv jobs in Michigan look for? The top searched job categories for Opencv jobs in Michigan are:
Opencv jobs near you
Infographic showing various Opencv job openings in Michigan as of June 2026, with employment types broken down into 1% Internship, 89% Full Time, 2% Part Time, and 8% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $112,991 per year, or $54.3 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

$99K - $136K/yr

Full-time

Posted yesterday

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

Job Summary:
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest companies. They are seeking a Senior Perception Engineer specializing in computer vision and deep learning, responsible for designing and implementing algorithms for object detection and segmentation using camera and LiDAR data fusion.
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.

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