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Senior Computer Vision Jobs in Michigan (NOW HIRING)

Phinia

Senior CAD Designer

Auburn Hills, MI · On-site

$96K - $103K/yr

... vision. We offer a strong local presence and interesting global opportunities. Join us on this shared journey toward a brighter tomorrow. JOB PURPOSE PHINIA is seeking a dynamic Senior CAD Designer ...

Freeman

Sr CAD Detailer

Detroit, MI · On-site

Summary The Senior Detailer supports the design development and fabrication of experience-based ... Medical, Dental, Vision Insurance * Tuition Reimbursement * Paid Parental Leave * Life, Accident ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

We are looking for a Senior ML Engineer to join our team and build the next generation of our ... Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

We are looking for a Senior ML Engineer to join our team and build the next generation of our ... Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth ...

Deloitte

Physical AI Senior Manager

Detroit, MI

$125K - $165K/yr

Physical AI Senior Manager - Manufacturing & Supply Chain We are a team of strategic advisors ... Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking ...

May Mobility

Senior Autonomy Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

... from senior engineers. • Develop, tune, and improve heuristic perception methods (geometric ... computer vision, multi-target tracking, or sensor fusion concepts. • Familiarity with ML/DL ...

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Senior Computer Vision information

What are the key skills and qualifications needed to thrive as a Senior Computer Vision Engineer, and why are they important?

To thrive as a Senior Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What does a Senior Computer Vision Engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

What are some common challenges faced by Senior Computer Vision Engineers when deploying models to production environments?

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.
What are the most commonly searched types of Computer Vision jobs in Michigan? The most popular types of Computer Vision jobs in Michigan are:
What are popular job titles related to Senior Computer Vision jobs in Michigan? For Senior Computer Vision jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Computer Vision jobs in Michigan look for? The top searched job categories for Senior Computer Vision jobs in Michigan are:
What cities in Michigan are hiring for Senior Computer Vision jobs? Cities in Michigan with the most Senior Computer Vision job openings:
Senior Computer Vision jobs near you
Infographic showing various Senior Computer Vision job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Robotics Engineer, Perception/Computer Vision

Nastech Global

Warren, MI • On-site

Contractor

Re-posted 9 days ago

Job description

Position: Senior Robotics Engineer, Perception/Computer Vision

Location: Warren, Michigan

Duration: 12+Months with possible extensions

Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)

About the Role:

We are seeking a Senior Robotics Engineer, Perception/Computer Vision to join our Advanced Development team within the Autonomous Robotics Center (ARC). In this role, you will develop perception features that enable robots with advanced capabilities such as object detection, obstacle avoidance, path optimization, and manipulation. This position combines artificial intelligence and computer vision techniques applied to real-world scenarios in dynamic manufacturing environments.

At ARC, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex manufacturing challenges at unprecedented scale. Joining our organization provides the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our automation capabilities and ensuring our robotic systems remain at the forefront of the industry.

Key Responsibilities:

  • Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
  • Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
  • Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
  • Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
  • Develop offline tools to test and validate perception models in both simulation and real-world environments.
  • Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
  • Generate intellectual property, document results, and publish papers.

Required Qualifications:

  • Passion for robotics and a strong desire to accelerate the application of robotics with AI.
  • Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
  • 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
  • Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
  • Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
  • Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.

Preferred Qualifications:

  • Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
  • Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
  • Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
  • Understanding of CI/CD pipelines and modern software development practices.