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Computer Vision Engineer Jobs in Warren, MI (NOW HIRING)

... from computer vision applications to generative AI models. This position requires a strong ... The ideal candidate will be a versatile engineer who can navigate complex software development ...

... from computer vision applications to generative AI models. This position requires a strong ... The ideal candidate will be a versatile engineer who can navigate complex software development ...

Computer Engineer

Sterling Heights, MI · On-site

$104K - $122K/yr

As an experiencedSoftware Engineer, you will work alongside our U.S. Army Software Engineering Center customer, applying your knowledge and skillsby providing technical engineering services that ...

Apply computer vision, path planning, and control algorithms to enable mission execution with ... Bachelor's degree in Robotics, Computer Science, Electrical Engineering and 5-7 years experience.

Apply computer vision, path planning, and control algorithms to enable mission execution with ... Bachelor's degree in Robotics, Computer Science, Electrical Engineering and 5-7 years experience.

Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks. Programming Skills: Strong proficiency in modern C++ and Python. System Integration:

Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks. Programming Skills: Strong proficiency in modern C++ and Python. System Integration:

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated * Palantir Foundry platform * Microsoft PowerBI / Fabrics tool (incl. DAX programming language)

... computer vision technology. Applies expertise in software optimization in C++ and Python to improve ... Engineering, Computer Engineering, Computer Science or related degree field and six (6) months of ...

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Computer Vision Engineer information

See Warren, MI salary details

$45.6K

$114.1K

$129.1K

How much do computer vision engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for computer vision engineer in Warren, MI is $114,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $123,500.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
What are popular job titles related to Computer Vision Engineer jobs in Warren, MI? For Computer Vision Engineer jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Warren, MI look for? The top searched job categories for Computer Vision Engineer jobs in Warren, MI are:
What cities near Warren, MI are hiring for Computer Vision Engineer jobs? Cities near Warren, MI with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Warren, MI as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $114,131 per year, or $54.9 per hour.
Software Engineer

Software Engineer

Faurecia

Auburn Hills, MI

Other

Re-posted 20 days ago


Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Role Summary The Software Engineer will play a critical role in our development team, working on a variety of projects that span the spectrum from computer vision applications to generative AI models. This position requires a strong understanding of both frontend and backend development practices, as well as proficiency in multiple programming languages.

The ideal candidate will be a versatile engineer who can navigate complex software development landscapes, delivering robust solutions that meet our high standards of quality and innovation. Key Responsibilities Design, develop, and maintain software solutions that support various automotive technology projects, including but not limited to computer vision and generative AI applications. Collaborate with cross-functional teams to define software requirements, system architecture, and integration strategies.

Write clean, efficient, and maintainable code across the full stack, ensuring high performance and responsiveness of applications, ensuring high levels of quality and reliability Develop and implement frontend interfaces using JavaScript and related frameworks, ensuring an intuitive and user-friendly experience. Build and maintain backend services and APIs in Python, Java, Node, or similar languages, ensuring scalability and security. Leverage Azure Cloud services for deploying and managing applications, optimizing for performance and cost.

Implement DevOps strategies, including continuous integration and continuous deployment (CI/CD), to streamline development workflows and enhance product quality. Stay up-to-date with emerging trends and technologies in software development, continuously improving skills and adopting best practices. Your profile and competencies to succeed Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Strong proficiency in multiple programming languages, including .NET, Python, JavaScript, and Node.js. C++ and or Rust would also be a plus. Experience with frontend development using modern JavaScript frameworks (e.g., Next js) and backend development practices

Proven experience with Azure Cloud services, including application deployment, configuration, and management. Solid understanding of DevOps principles and experience with CI/CD pipelines, automation tools (such as Terraform, Ansible or Azure Resource Manager), and containerization technologies (e.g., Docker, Kubernetes). Knowledge of software development methodologies and best practices, with a strong focus on code quality, security, and performance

Excellent problem-solving skills, with the ability to think critically and develop innovative solutions to complex technical challenges. Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Knowledge in micro-services software architecture and principles.

Familiarity with design patterns. Familiarity with agile methodologies. What we can do for you At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.

We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values.

Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers.

Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration.

We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5C

Three principles guide our action:use less, use betteranduse longer, with a focus on recyclability and circular economy. Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.

With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard.

We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.


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