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Camera Engineer Jobs in Canton, MI (NOW HIRING)

Optimal Inc.

Controls Engineer - Launch

Sterling Heights, MI · On-site

$77K - $100K/yr

We are looking for an experienced Controls/Automation Engineer to prepare for an participate in new ... BSEE degreeABB RobotsFanuc RobotsCognex camerasKeyence cameras & sensorsPowertrain Manufacturing

General Motors

Staff Software Engineer

Warren, MI · On-site

Our teams combine modern cloud platforms, plant-floor systems, computer-vision systems for camera-based inspection, data models and data platforms, and sophisticated AI-assisted software engineering ...

Valeo

R&D Resident & Front Office Engineer

Troy, MI · On-site

$93K - $119K/yr

R&D Resident & Front Office Engineer for Dearborn, MI to develop automotive ultrasonic camera & radar components & resolve product issues at customer site; participate in reviews; complete ...

IAC Group

Controls Engineer

Warren, MI · On-site

$70 - $110/hr

Proficiency in Allen Bradley PLC programming (RSLogix 5000, Studio 5000) * Proficiency in HMI ... Vision Systems (Keyence Cameras and Scanners) * Technical support, hands on with Maintenance team

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All JobsCamera Engineer JobsCamera Engineer Jobs in Canton, MI

Camera Engineer information

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 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.

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 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:

Camera Engineer jobs near you
Infographic showing various Camera Engineer job openings in Canton, MI as of August 2026, with employment types broken down into 80% Full Time, 7% Part Time, and 13% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Autonomous Driving Vehicle Perception Engineer

Reveille Technologies

Northville, MI • On-site

Other

Re-posted 16 hours ago

Job description

ONLY FULLTIME NO CONTRACT

Job Title: Autonomous Driving Vehicle Perception Engineer

Location: Northville, MI (Onsite)

Type: Full-time

About the Role

We are seeking an experienced Perception Engineer to design, build, and deploy real-time perception and multi-sensor fusion algorithms for next-generation autonomous driving systems across LiDAR, camera, radar, and GNSS modalities.

Key Responsibilities

  • Algorithms & Models: 3D Object Detection, Multi-Object Tracking, Semantic Segmentation, Machine Learning (PyTorch, TensorFlow, YOLO, Faster R-CNN, DeepSORT).

  • Localization & SLAM: Graph SLAM, LIO-SAM, Visual-Inertial SLAM, Point Cloud Processing (PCL, Open3D).

  • Sensor Fusion & Calibration: Intrinsic & Extrinsic Calibration, Multi-Sensor Fusion (LiDAR, Camera, Radar, GNSS), Coordinate Transformations, Time Synchronization.

  • System Integration & Optimization: ROS2, C++, Python, Real-Time Systems, Parallel Computing (CUDA, OpenCL).

Key Requirements

  • Experience: 3+ years in sensor calibration, multi-sensor fusion, or autonomous vehicle perception.

  • Core Fundamentals: Strong background in 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.

  • Tech Stack: High proficiency in C++ and Python; hands-on experience with ROS2 and computer vision libraries (OpenCV, PCL, or Open3D).

  • Deep Learning & Tracking: Experience with PyTorch/TensorFlow, object detection models (YOLO, Faster R-CNN), and tracking algorithms (Kalman Filters, DeepSORT, UKF).

  • Optimization: Familiarity with parallel computing platforms (CUDA/OpenCL) for real-time performance.

Thanks and Regards,

Praveenkumar

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