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Camera Engineer Jobs in Canton, MI (NOW HIRING)

Controls Engineer

Farmington, MI · On-site

$82K - $106K/yr

  • Retirement

JJE has engineering and manufacturing facilities both globally and in the United States. We offer ... Support integration of cameras/scanners with PLC-controlled processes. * Familiarity with RFID ...

New

Cameras and related sensing technologies * Analyze vehicle CAN/CAN-FD communication and validate ... Work closely with Toyota engineering teams in North America and Japan. * Participate in vehicle ...

... cameras, particle velocity probes, etc * Ability to influence design based on engineering ... principles * Experience using order analysis, torsional vibration analysis, sound intensity mapping ...

... cameras, particle velocity probes, etc * Ability to influence design based on engineering ... principles * Experience using order analysis, torsional vibration analysis, sound intensity mapping ...

... cameras, particle velocity probes, etc * Ability to influence design based on engineering ... principles * Experience using order analysis, torsional vibration analysis, sound intensity mapping ...

Education • Bachelor's degree in Supply Chain Management, Business, Engineering or related. Experience • 5+ years of applicable experience preferred, preferably in automotive electronics ...

Software Sr. Engineer (Middleware)

Farmington Hills, MI · On-site

$120K - $158K/yr

Engineering General Responsibilities: We are seeking an experienced and dynamic Senior Engineer to ... Integrate and support standard automotive sensors, with a focus on AD/ADAS, such as cameras, radar ...

ADAS Core Hardware Engineer

Dearborn, MI · On-site

$114K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... camera systems. We are seeking a highly driven engineer responsible for the core development work for ADAS sensors. You would lead hardware and software core development and own requirements for ...

ADAS Core Hardware Engineer

Dearborn, MI · On-site

$66.66 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... camera systems. We are seeking a highly driven engineer responsible for the core development work for ADAS sensors. You would lead hardware and software core development and own requirements for ...

Showing results 41-60

Camera Engineer information

What are the key skills and qualifications needed to thrive as a camera engineer, and why are they important?

To thrive as a Camera Engineer, you need a strong background in electrical engineering, optics, image processing, and a relevant engineering degree. Familiarity with CAD software, camera sensor technologies, and programming languages like C++ or Python is typically required, along with knowledge of industry standards. Strong problem-solving skills, attention to detail, and effective teamwork make someone stand out in this position. These skills and qualities are crucial for designing, optimizing, and troubleshooting advanced camera systems used in various imaging applications.

What are some common challenges camera engineers face when working on multidisciplinary teams?

Camera Engineers often collaborate with hardware designers, software developers, and image processing specialists, which can present challenges in aligning technical requirements and project timelines. Effective communication is key, as each discipline may have different priorities or constraints. Additionally, integrating camera modules into complex systems often requires balancing image quality, computational efficiency, and hardware limitations. Successfully navigating these challenges can enhance both technical skills and teamwork abilities, making the role rewarding for those who enjoy problem-solving in a collaborative environment.

How much does a camera engineer make?

The average salary for a camera engineer ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled professionals with expertise in optics, electronics, and software development may earn higher salaries, especially in high-tech or specialized environments.

What is the difference between Camera Engineer vs Camera Technician?

AspectCamera EngineerCamera Technician
CredentialsBachelor's degree in engineering, electronics, or related fieldTechnical diploma or certification in camera systems or electronics
Work EnvironmentDesign, develop, and test camera systems in labs or R&D settingsInstall, maintain, and repair camera equipment on set or in the field
Industry UsageUsed in manufacturing, product development, and researchCommon in film, television, and live event production

Camera Engineers focus on designing and developing camera systems, while Camera Technicians handle installation, maintenance, and troubleshooting of camera equipment. Both roles require technical knowledge, but their daily tasks and work environments differ significantly.

What does a camera engineer do?

A Camera Engineer is responsible for designing, developing, testing, and maintaining camera systems and related imaging technology. They work on both hardware and software aspects, ensuring cameras capture high-quality images and videos for various applications such as smartphones, security systems, or professional photography. Camera Engineers also collaborate with other teams to integrate camera modules into devices and troubleshoot technical issues. Their expertise covers optics, sensors, image processing, and firmware development.

What are popular job titles related to Camera Engineer jobs in Canton, MI?

For Camera Engineer jobs in Canton, MI, the most frequently searched job titles are:

Infographic showing various Camera Engineer job openings in Canton, MI as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Robotics Engineer, Perception/Computer Vision

Nastech Global

Warren, MI • On-site

Contractor

Re-posted 16 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.