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Camera Engineer Jobs in Canton, MI (NOW HIRING)

Ford Motor Company

RAE Software Engineer

Dearborn, MI · On-site

$113K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The engineer will work across the stack from vehicle interfaces and sensor inputs to rendering ... camera ingestion, and vehicle signal integration while debugging and optimizing memory for ...

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

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 ...

New

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 ...

New

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Showing results 21-40

All JobsCamera Engineer JobsCamera Engineer Jobs in Canton, MI

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:

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 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Autonomous Driving Senior Vehicle Perception Engineer

Quest Global

Northville, MI • On-site

$95K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Quest Global rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

242nd of 449 rated engineering

Job description

Job Requirements
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills
What You will Do:
  • Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS.
  • Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems.
  • Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data.
  • Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM.
  • Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
  • Participate in real-time systems design and optimization to meet the high-performance requirements of autonomous driving.
  • Work with ROS2 for integration and deployment of perception algorithms.
  • Develop, test, and deploy machine learning models for perception tasks such as object detection and segmentation.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions.
  • Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.

What You Will Bring:
  • Minimum 3+ years of experience in sensor calibration, multi-sensor fusion, or related domains.
  • Strong foundation in linear algebra, 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.
  • Hands-on experience with intrinsic and extrinsic calibration of LiDAR, cameras, and radar, including geometric calibration, coordinate transforms, and sensor synchronization.
  • Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities.
  • Deep understanding of LiDAR technology, point cloud data structures, and processing techniques; experience with PCL or Open3D.
  • Proficiency in sensor fusion for combining data from LiDAR, camera, radar, and GNSS, including handling time synchronization and motion distortion.
  • Solid background in computer vision techniques; experience with OpenCV and object detection models such as YOLO, Faster R-CNN, or SSD.
  • Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and segmentation tasks.
  • Hands-on experience with multi-object tracking algorithms such as SORT, DeepSORT, Kalman Filters, UKF, IMM, or JPDA.
  • Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.
  • Familiarity with ROS2 for perception-based autonomous systems development.
  • Experience with parallel computing for real-time performance optimization (e.g., CUDA, OpenCL).

Pay Range: $95,000-$140,000 a year
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements: This role is considered an on-site position located in Northville, MI, USA
  • You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.

Benefits
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Employer paid Life Insurance, Short- & Long-Term Disability

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