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Camera Isp Image Processing Jobs in Illinois (NOW HIRING)

... cameras non-destructive testing equipment, image processing, robotic tool pathing / motion planning, digital twins. * Implement and optimize drivers that facilitate smooth integration of various ...

... cameras non-destructive testing equipment, image processing, robotic tool pathing / motion planning, digital twins. * Implement and optimize drivers that facilitate smooth integration of various ...

Exposure to smart cameras (onboard processing, object detection) * Familiarity with image quality testing tools (e.g., Imatest) * Experience with similar sensor technologies such as: * Lidar * Radar

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... for image capture, cloud pipelines for data processing, and a user-facing web application. As a ...

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Palletize or tray finished product for downstream processing * Perform routine machine maintenance ... Experience using camera match systems such as MCS, Keyence, or Lake Image * Ability to read and ...

Monitor CCTV cameras and security systems * Complete daily activity logs, incident reports, and ... Security Officers must maintain a professional image and demonstrate excellent customer service at ...

Our teams use the latest technology in data processing, security, personalization and mailing to ... camera match systems (MCS, Keyence, Lake Image). * Familiarity with reading and interpreting job ...

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Camera Isp Image Processing information

What are the key skills and qualifications needed to thrive as a Camera ISP (Image Signal Processing) Image Processing Engineer, and why are they important?

To excel as a Camera ISP Image Processing Engineer, you need a solid background in image processing algorithms, signal processing, and a relevant degree in electrical engineering, computer science, or a related field. Proficiency with programming languages such as C/C++, Python, and tools like MATLAB or OpenCV, along with experience in camera sensor tuning, is commonly required. Strong analytical thinking, problem-solving skills, and effective teamwork are crucial soft skills in this technical role. These capabilities ensure innovative image quality solutions and seamless integration of camera technologies in consumer devices.

What is the difference between Camera Isp Image Processing vs Camera Firmware Engineer?

AspectCamera Isp Image ProcessingCamera Firmware Engineer
CredentialsKnowledge of image processing algorithms, computer vision, and embedded systemsEmbedded systems, C/C++ programming, hardware integration
Work EnvironmentFocus on image quality, sensor data, and real-time processingDevelops firmware for camera hardware, including low-level control
Industry UsageCamera manufacturers, smartphone companies, automotive vision systemsCamera hardware companies, consumer electronics, automotive
Search & Comparison IntentUnderstanding image processing roles in camera systemsDeveloping and optimizing camera firmware

Camera Isp Image Processing specialists focus on enhancing image quality through algorithms and sensor data analysis, while Camera Firmware Engineers develop the low-level software that controls camera hardware. Both roles are essential in camera development but differ in their technical focus and responsibilities.

What is a Camera ISP (Image Signal Processor) and what does a Camera ISP Image Processing Engineer do?

A Camera ISP (Image Signal Processor) is a specialized hardware unit or software pipeline in digital cameras and smartphones that processes raw image data captured by the camera sensor. A Camera ISP Image Processing Engineer is responsible for developing and optimizing algorithms that enhance image quality, such as noise reduction, color correction, auto exposure, white balance, and sharpening. They work closely with hardware and software teams to ensure that images and videos captured by devices are clear, vibrant, and true to life. Their role is critical in achieving high-quality imaging in products like smartphones, surveillance cameras, and automotive systems.

What are some common challenges faced by professionals working in camera ISP (Image Signal Processing) roles, and how can they be addressed?

Professionals in camera ISP Image Processing roles often encounter challenges such as optimizing image quality under varying lighting conditions, managing sensor noise, and ensuring real-time processing performance. These challenges require a strong understanding of both hardware constraints and image processing algorithms. Collaboration with hardware engineers and software developers is crucial to balance image quality with resource efficiency. Continuous learning and staying updated with the latest advancements in computer vision and ISP techniques also help in overcoming these challenges.
What are popular job titles related to Camera Isp Image Processing jobs in Illinois? For Camera Isp Image Processing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Camera Isp Image Processing jobs in Illinois look for? The top searched job categories for Camera Isp Image Processing jobs in Illinois are:
What cities in Illinois are hiring for Camera Isp Image Processing jobs? Cities in Illinois with the most Camera Isp Image Processing job openings:
Infographic showing various Camera Isp Image Processing job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 21% Part Time, and 12% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

ADAS Camera Validation Engineer

Pentangle Tech Services | P5 Group

Mossville, IL • On-site

Other

Posted 10 days ago


Job description

Job Description:


This role sits within the autonomy components team, supporting camera-based sensing systems used across Caterpillar’s autonomous, safety, and operator-awareness technologies. The position is focused on technical support and validation of camera systems, working closely with platform and technical leads, as well as external suppliers.

The engineer will operate in a mix of office, lab, and field environments, helping drive performance, testing, and issue resolution for a growing camera portfolio.


Key Responsibilities

This position is centered around hands-on technical support and system-level validation. Core responsibilities include:

  • Supporting development and execution of camera system testing and validation
  • Writing and executing:
  • Test plans
  • Test procedures
  • Test reports
  • Performing both performance testing (image quality, detection, lighting conditions, field of view) and environmental testing (EMC, durability, lab and third-party facilities)
  • Troubleshooting and investigating technical issues and field returns
  • Working with external suppliers / Tier 1 partners producing camera systems
  • Supporting testing across multiple environments:
  • Lab-based testing (e.g., image tuning, controlled setups using tools like Imatest)
  • Field testing (real-world lighting and application conditions)
  • External validation sites (Mossville or third-party facilities)
  • Assisting the team in improving and expanding performance validation capabilities, especially in real-world applications


Required Skills & Experience

The role is best suited for a technically hands-on engineer with experience in sensor-based systems and validation work.

Key qualifications include:

  • 4+ years relevant experience
  • Bachelors degree (**could consider AS degree with very relevant experience – cameras, ADAS)
  • Background in camera systems, ADAS (Advanced Driver Assistance System), robotics, or machine vision applications
  • Experience with performance testing and environmental testing
  • Strong troubleshooting and root cause analysis skills
  • Hands-on experience with lab tools (e.g., oscilloscopes, diagnostic equipment)
  • Ability to write technical documentation (test plans, reports)
  • Comfort working across lab and field environments
  • Self-driven mindset with strong technical curiosity


Preferred Background

While not required, the following experience will strengthen a candidate’s fit:

  • Direct experience with camera system development or validation
  • Exposure to smart cameras (onboard processing, object detection)
  • Familiarity with image quality testing tools (e.g., Imatest)
  • Experience with similar sensor technologies such as:
  • Lidar
  • Radar
  • Ultrasonic sensors
  • Understanding of application-level performance (how sensors function in real-world machine environments)


Ideal Candidate Profile

The ideal candidate is a hands-on, application-focused engineer who can bridge testing, troubleshooting, and real-world system performance.

They will typically demonstrate:

  • A self-starter mentality and strong initiative (non-negotiable)
  • Comfort working in ambiguous, evolving technology environments
  • Practical experience applying sensors in ADAS, automotive, or robotics use cases
  • Ability to go beyond component-level thinking and understand system/application performance
  • Willingness to be actively involved in testing, debugging, and field validation—not purely design or software-focused work.