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Senior Computer Vision Jobs in Michigan (NOW HIRING)

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 ...

Ford Motor Company

Senior Data Engineer

Redford, MI · On-site

$85K - $192K/yr

Experience with Computer Vision (CNNs) for automated inspection or Transformers for complex sequence modeling in sensor data. * MLOps:Familiarity with CI/CD for machine learning, containerization ...

Commerce Controls

Lead CAD Technician

Novi, MI · On-site

This position collaborates with the Group Engineering Manager and Senior Quality Engineer to ... Vision Insurance, Short Term Disability, Long Term Disability, Life Insurance, Flexible Spending ...

Megan soft Inc

Site IT Operations Lead

Dearborn, MI · On-site

... Security, Computer Vision, Connectivity, Continuous Improvement Process, Data Migration ... Senior Associate Exp: 3 to 5 years of progressive experience in IT operations, infrastructure ...

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All JobsSenior Computer Vision JobsSenior Computer Vision Jobs in Michigan

Senior Computer Vision information

What engineers make $300,000 a year?

Senior computer vision engineers with extensive experience, advanced skills in deep learning and image processing, and often working in high-demand industries such as autonomous vehicles or AI research can earn $300,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

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 engineer makes $500,000 a year?

Senior Computer Vision engineers with extensive experience, advanced skills in deep learning and image processing, and work at top tech companies or in specialized industries can earn salaries around $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a proven track record, and expertise in tools like TensorFlow or PyTorch.

Which 3 jobs will survive AI?

Senior Computer Vision roles are likely to persist because they require specialized expertise in image analysis, deep learning, and domain-specific knowledge that are difficult to fully automate. Jobs involving complex problem-solving, creativity, and human interaction, such as AI specialists, data scientists, and cybersecurity analysts, are also expected to remain in demand. These roles often require continuous learning and adaptation to new tools and techniques, making them more resilient to automation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, including autonomous vehicles, medical imaging, and security systems. Senior computer vision professionals are in demand for developing algorithms, working with deep learning frameworks, and deploying real-world solutions. The field continues to grow as new techniques and tools emerge, making it a viable career choice for those with relevant skills and experience.

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 June 2026, with employment types broken down into 1% As Needed, 58% Full Time, 27% Part Time, and 14% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Senior Software Engineer, Calibration

Woven by Toyota

Ann Arbor, MI • On-site

$119K - $158K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM
An autonomous driving system typically comprises Sensing, Perception, Localization, Planning, and Control components. The World Understanding team owns responsibilities for Sensing, Perception, and Localization within Woven by Toyota for autonomous driving development. Specifically, the Sensor & Calibration sub-team, operating under the World Understanding team, focuses on Intrinsic and Extrinsic calibration of autonomous driving sensors, including Camera, LiDAR, Radar, and IMU. Our scope of work also encompasses the quality management of sensor data for post-processing activities and the operational management of calibration for our autonomous driving test vehicles.
 
WHO ARE WE LOOKING FOR?
The Sensor & Calibration sub-team is seeking an experienced Senior Software Engineer to support the development of online (dynamic) sensor calibration algorithms for our next-generation autonomous driving system. The selected candidate will be responsible for the design and implementation of online sensor calibration algorithms, validation of sensor calibration quality, optimization of runtime performance within limited computational resources, and the subsequent deployment of the algorithm to millions of Toyota production vehicles. We require an individual with specialized domain expertise in sensor calibration for autonomous driving systems, a comprehensive understanding of autonomous driving sensor hardware such as Camera, LiDAR, Radar, or IMU, and proven experience developing algorithms and tools for sensor calibration. Furthermore, candidates who exhibit a collaborative, "giver" mindset, consistently seeking opportunities to assist colleagues while maintaining a resolute focus on delivering production-ready solutions, are highly valued.
RESPONSIBILITIES
  • Lead the design, implementation, and delivery of next-generation online (dynamic) sensor calibration algorithms, proactively resolving deficiencies and ensuring that solutions meet objectives for reliability, quality, and business impact.
  • Establish validation pipelines to guarantee that the developed online sensor calibration algorithm adheres to the required calibration accuracy specified by Toyota products.
  • Optimize sensor calibration algorithms with respect to runtime, accuracy, and robustness, specifically considering constraints imposed by limited computational resources.
  • Collaborate with vehicle engineers and operators to ensure exceptional sensor calibration quality, which is critical for optimal vehicle deployment and the enhancement of autonomous driving performance.
  • Operate within a high-velocity environment and employ rigorous agile development practices.
  • Work within a hybrid workspace model, necessitating physical presence in our Ann Arbor (Michigan, US) office three days per week.
MINIMUM QUALIFICATIONS
  • A minimum of three years of industrial experience in computer vision or a related field, with demonstrated expertise in topics such as: Sensor Calibration for IMU, LiDAR, Camera, or Radar, Structure-from-motion, SLAM or Localization, Sensor fusion, 3D reconstruction or Multi-view geometry
  • Proficiency in C++ and Python programming languages.
  • Practical, hands-on experience in constructing a comprehensive sensor calibration stack for autonomous driving systems.
  • Profound understanding of autonomous driving sensors, including Camera, LiDAR, Radar, and IMU.
  • Experience in developing testable and modular code to maintain a robust production environment.
  • The ability to thrive in a fast-paced environment and collaborate effectively across teams and disciplines, supported by excellent interpersonal skills.
  • MS or PHD in Computer Science, Computer Vision, Robotics or related quantitative fields.
NICE TO HAVES
  • Experience in runtime optimization specifically for Linux and UNIX-like real-time operating systems.
  • Experience with embedded CUDA development and associated tooling.
  • A proven track record of deploying Machine Learning (ML) models at scale within autonomous driving or related technological fields.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
Excellent health, wellness, dental and vision coverage
A rewarding 401k program
Flexible vacation policy
Family planning and care benefits

Our Commitment
We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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