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Machine Vision Engineer Jobs in Detroit, MI (NOW HIRING)

Lead integration projects for new robotic cells, conveyors, end-of-arm tooling, and machine vision ... Support plant engineering teams with continuous improvement initiatives to improve cycle time ...

Lead integration projects for new robotic cells, conveyors, end-of-arm tooling, and machine vision ... Support plant engineering teams with continuous improvement initiatives to improve cycle time ...

Vision Control Engineer II

Southfield, MI ยท On-site

$77K - $99K/yr

VISION CONROLS ENGINEER II MONTGOMERY, AL OR TUSCALOOSA, AL NATURE OF WORK: The Vision Controls ... Knowledge on machine learning with AI capabilities * Self-driven and willingness to work long hours ...

Vision Control Engineer II

Southfield, MI ยท On-site

$77K - $99K/yr

VISION CONROLS ENGINEER II MONTGOMERY, AL OR TUSCALOOSA, AL NATURE OF WORK: The Vision Controls ... Knowledge on machine learning with AI capabilities * Self-driven and willingness to work long hours ...

ADAS Design Release Engineer

Auburn Hills, MI ยท On-site

$38 - $43.50/hr

... cameras (human/machine vision), ultrasonic sensors, and associated processing ECUs ... Work closely with ADAS Functional Integration engineers and cross-functional teams to execute and ...

Automation Controls Engineer

Auburn Hills, MI ยท On-site

$79K - $104K/yr

The Automation Controls Engineer is responsible for the design, integration, programming, and ... Ability to learn new technologies, particularly emerging robotics and machine vision platforms.

... areas such as computer vision, perception, localization, natural language processing, and ... Machine Learning model fine-tuning. Familiarity with data engineering concepts and practices.

... cameras (human/machine vision), ultrasonic sensors, and associated processing ECUs ... Work closely with ADAS Functional Integration engineers and cross-functional teams to execute and ...

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Showing results 1-20

Machine Vision Engineer information

See Detroit, MI salary details

$31.2K

$127.5K

$191.6K

How much do machine vision engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for machine vision engineer in Detroit, MI is $127,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $153,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Vision Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a degree in engineering or computer science. Experience with machine vision libraries (such as OpenCV or HALCON), familiarity with industrial cameras and lighting, and certifications in automation or robotics are commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies are essential for developing, testing, and deploying reliable vision systems that meet industrial automation needs.

What is a Machine Vision Engineer job?

A Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to analyze and interpret visual data. They work with imaging hardware, software, and algorithms to automate inspection, quality control, and object recognition tasks in industries like manufacturing, robotics, and healthcare. Their role involves optimizing image processing techniques, integrating vision systems with automation, and improving performance using AI and machine learning.

What are typical projects or daily tasks for a Machine Vision Engineer?

Machine Vision Engineers are often involved in designing, implementing, and optimizing vision systems used for automated inspection, quality control, or object identification in manufacturing environments. On a day-to-day basis, you might work on algorithm development, integrating hardware components like cameras and lighting, troubleshooting vision setups, and collaborating with multidisciplinary teams such as mechanical engineers or production managers. Regular tasks include testing new solutions on production lines, refining vision algorithms for accuracy, and documenting system performance. Being adaptable and able to communicate clearly with both technical and non-technical colleagues is important for success in this dynamic and fast-evolving field.

What are popular job titles related to Machine Vision Engineer jobs in Detroit, MI? For Machine Vision Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Machine Vision Engineer jobs in Detroit, MI look for? The top searched job categories for Machine Vision Engineer jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Machine Vision Engineer jobs? Cities near Detroit, MI with the most Machine Vision Engineer job openings:
Infographic showing various Machine Vision Engineer job openings in Detroit, MI as of June 2026, with employment types broken down into 83% Full Time, 9% Part Time, and 8% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,477 per year, or $61.3 per hour.
ADAS Vision Systems Engineer

ADAS Vision Systems Engineer

Ford Motor Company

Dearborn, MI โ€ข On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 days ago


Job description

Are you a skilled and motivated engineer passionate about automotive camera systems? We're seeking a Core Camera Systems Engineer to join our Advanced Driver Assistance Systems (ADAS) team.

In this specialized role, you will be instrumental in defining, designing, documenting, and developing the core ADAS camera system elements. You'll work in close collaboration with our vehicle subsystem partners.

Leveraging your background in requirements management, systems engineering, ADAS software/hardware development, and specific experience with camera sensors in complex vehicle architectures, you will drive the technical direction for camera system integration, functionality, and performance.

This position demands a deep understanding of camera technology, coupled with strong engineering abilities. You will guide technical discussions, solve complex performance and integration problems, and collaborate effectively across various internal teams and external partners.

If you thrive on the technical challenges of automotive camera systems, enjoy leading initiatives, and are looking to grow your career within ADAS, this is a significant opportunity to shape the future of advanced camera systems that enable both machine vision and human vision features.

You'll have...

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, or Computer Science and a minimum of 6 years of relevant engineering experience.

  • OR a minimum of 10 years of equivalent engineering experience without the specified degree.

  • Knowledge of software, hardware, and systems development.

  • Familiarity with overall vehicle Electrical/Electronic (E/E) architectures.

  • Experience in roles such as automotive systems engineer, vehicle architecture implementation, or product launch within a sensor system development context.

  • Experience working effectively in dynamic, crossfunctional environments, including collaboration with internal and external partners.

Even better, you may have...

  • 5+ years of direct experience within the ADAS domain.

  • Knowledge of ADAS software, hardware, and systems development, particularly in areas like camera image processing pipelines, camera perception,ย or sensor fusion.

  • Deep technical expertise in automotive camera systems, including a solid understanding of image sensors, optics, image signal processing (ISP), camera interfaces, and integration into vehicle Electrical/Electronic (E/E) architectures.

  • Proven systems engineering experience, with a strong focus on automotive camera systems or embedded vision systems.

  • Demonstrated ability to lead technical design reviews, discussions, and complex problemsolving sessions for ADAS systems.

  • Experience with automotive ADAS (SAE L0L3) features that heavily rely on camera input.

  • Excellent problemsolving skills, particularly for complex challenges related to advanced sensor system performance, quality, design, and integration.

  • Strong communication skills (written and verbal) and effective collaboration abilities.

  • Experience mentoring junior technical team members (formal or informal).

  • Proven drive to exceed quality metrics.

Technical Skills: Automotive Camera System Architecture Design, Image Sensor Technology, Optics Fundamentals, Image Processing Pipelines, Automotive Camera Integration (e.g., FPDLink, GMSL, Ethernet), Requirements Engineering, Modeling Tools, Magic Draw, Problem Diagnosis & Resolution, Technical Documentation, Familiarity with E/E Architectures.

Professional & Leadership Skills: Team Collaboration, Technical Leadership, CrossFunctional Communication, Stakeholder Management (including internal/external partners), Strategic Thinking, Decision Making, Mentoring, Adaptability, Planning & Organization.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverage

Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

Vehicle discount program for employees and family members and management leases

Tuition assistance

Established and active employee resource groups

Paid time off for individual and team community serviceย 

A generous schedule of paid holidays, including the week between Christmas and New Year's Dayย 

Paid time off and the option to purchase additional vacation time.ย 

This position is a range of salary grades 7-8 and ranges from $97,140-190,500.ย 

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Onsite

ย  ย #LI-MG3

What you'll do...

  • Camera System Architecture:ย Lead the definition, design, and evolution of the core ADAS camera system, creating requirements that produce robust and scalable hardware, software, and system designs.

  • Continuous Improvement: Drive the research and evaluation of cuttingedge camera technologies (image sensors, optics, image processing pipelines, SoCs), recommending strategic improvements and robustness actions to significantly enhance camera system capabilities for advanced camerabased features.

  • Technical Direction:ย Provide technical direction to engineering teams, ensuring regulatory compliance, performance targets (image quality, latency), and technical excellence.

  • Ensure CrossFunctional Integration: Work closely with diverse internal teams (SW, HW, Validation, Perception, Fusion, Planning, Infotainment, etc.) and external partners to guarantee seamless integration, alignment, and robustness of ADAS camera system solutions.

  • ADAS Strategic Alignment: Ensure the camera system architecture directly supports and aligns with critical ADAS strategic imperatives: Quality, Program Delivery, architecture evolution, camera-based features, AI/Data analysis needs, and simulation capabilities.

  • CrossSensor Standardization: Drive initiatives to align and standardize camera system strategies and processes with those of other ADAS sensors, promoting consistency, efficiency, and robust systemlevel integration across the full sensor suite.

  • Systems Modeling & Documentation:ย Champion the use of structured system modeling tools (SysML/UML, e.g., Magic Draw) to accurately define, document, and analyze camera system architecture, requirements, and interfaces, thereby improving clarity and process efficiency.

  • Process Improvement: Champion and drive continuous improvement in requirements management (JAMA / FEDE), and systems engineering processes specifically tailored for ADAS camera systems.

  • Complex Problem Resolution &ย  Robustness Actions:ย Drive the resolution of complex technical issues impacting ADAS camera system architecture, performance, calibration, and vehicle integration for both current and future programs. Leverage insights from these resolutions and lessons learned to inform the design of nextgeneration camera systems and prevent reoccurrence. Support the implementation and launch activities for current architectures.

  • Diagnostic & Fault Management: Lead the definition and implementation of comprehensive diagnostic and fault handling strategies for the ADAS camera system, ensuring effective failure detection, reporting, and management spanning hardware, software interfaces, and the overall system.


Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982