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Camera Calibration Jobs in Chicago, IL (NOW HIRING)

Aquabyte

Embedded Software Engineer

Mundelein, IL

$130K - $190K/yr

The types of tests we orchestrate are hardware burn-in, optical quality testing in-air and in-water, sensor calibration and verification, and stereo camera calibration. The edge team also writes ...

viaPhoton

Electrical Automation Engineer

Aurora, IL · On-site

Develop and deploy computer vision systems for real-time applications, including camera calibration, lighting, and micron-level resolution * Collaborate across engineering, operations, and production ...

Methodist Hospitals

NUCLEAR MED TECHNOLOGIST II

Gary, IN · On-site

... camera and by using the department and radiologist set protocols. * Verfies patient name and date ... Performs daily surveys, collects flood data, bar phantoms, calibration check of dose and calibrator ...

*Southlake Campus

NUCLEAR MED TECHNOLOGIST II

Gary, IN · On-site

... camera and by using the department and radiologist set protocols. * Verfies patient name and date ... Performs daily surveys, collects flood data, bar phantoms, calibration check of dose and calibrator ...

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All JobsCamera Calibration JobsCamera Calibration Jobs in Chicago, IL

Camera Calibration information

See Chicago, IL salary details

$15

$26

$38

How much do camera calibration jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for camera calibration in Chicago, IL is $26.52, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $29.71 per hour, depending on experience, location, and employer.

What is camera calibration and why is it important?

Camera calibration is the process of determining the internal characteristics (intrinsic parameters) and external orientation (extrinsic parameters) of a camera. This process corrects distortions and maps the 3D world onto 2D images accurately. Calibration is crucial for applications such as computer vision, robotics, and augmented reality, where precise measurements and representations are needed. By calibrating a camera, you ensure that spatial measurements and image processing algorithms produce reliable and accurate results.

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

To thrive as a Camera Calibration Engineer, you need strong skills in computer vision, image processing, and mathematics, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like OpenCV, MATLAB, and camera calibration libraries, as well as experience with calibration patterns and algorithms, is essential. Attention to detail, analytical thinking, and effective problem-solving are crucial soft skills for success in this role. These abilities ensure precise calibration results, which are vital for the accuracy and reliability of imaging systems in applications like robotics and autonomous vehicles.

What are the typical challenges faced by professionals in camera calibration roles, and how can they be addressed?

Professionals in camera calibration often encounter challenges such as dealing with lens distortions, varying lighting conditions, and ensuring precise alignment of hardware and software. Addressing these issues typically involves using robust calibration algorithms, frequent recalibration, and thorough validation with test images or real-world scenarios. Collaboration with hardware engineers and software developers is essential to fine-tune calibration parameters and integrate calibration processes seamlessly into production pipelines. Being detail-oriented and staying updated with the latest calibration tools can also help overcome these common challenges.

What are popular job titles related to Camera Calibration jobs in Chicago, IL?

For Camera Calibration jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Camera Calibration jobs in Chicago, IL look for?

The top searched job categories for Camera Calibration jobs in Chicago, IL are:

Camera Calibration jobs near you
Infographic showing various Camera Calibration job openings in Chicago, IL as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 16% Physical, and 84% Remote job distribution, with an average salary of $55,156 per year, or $26.5 per hour.

Embedded Software Engineer

Aquabyte

Mundelein, IL

$130K - $190K/yr

Full-time

Re-posted 9 days ago

Job description

Our mission 
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. By making fish farming cheaper and more viable than livestock production, we aim to mitigate one of the biggest causes of climate change and help prepare our planet for impending population growth. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
 
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision makes you smile, gives you goosebumps, or otherwise inspires you please get in touch.
 
Our product
We are currently focused on helping salmon farmers better understand their fish populations and make environmentally-sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
 
About The Edge Systems Team:
Edge engineering is responsible for the hardware and software orchestrating the hardware installed at fish farms around the world. Our goals are to create autonomous, reliable, bandwidth-light, long-lasting, robust, remote-debuggable, fail-safe, and easily deployable underwater cameras and sensors.
 
We work with world-class mechanical engineering firms and optical consultants to spec the underwater equipment we deploy. The edge engineering team writes software and procedures to make quality testing of these cameras as easy as possible for the field team in Norway. The types of tests we orchestrate are hardware burn-in, optical quality testing in-air and in-water, sensor calibration and verification, and stereo camera calibration.
 
The edge team also writes software to make it easy for the field team to successfully deploy and configure our hardware at the farm. As it’s often rainy in Norway and the Internet may not yet be set up, our debugging tools need to operate wirelessly and allow a field technician to interface with the hardware from their phones.
 
The edge team is responsible for designing the network, cellular backup system, and mesh network of devices at a farm. We plan for failure, and build in redundancies where possible. Internet can go out for hours and there’s only so much data we can uplink. Boats may park between our antennas.
 
As Aquabyte evolves, more products will be built on-top of the pixel and sensor data we collect. In order to scale, these algorithms need to live on the edge. We work closely with the machine learning team to help move their algorithms safely from the cloud to the edge.
We are responsible for our own Linux build process and the process of safely deploying software to the devices in the field.
 
This role is flexible and is based out of our Bay Area office and involves occasional travel to Norway and Chile.
Job Responsibilities
  • Interface with sensors; cameras; mesh, wireless, and cellular networks to create robust, reliable, and remote data collection and processing systems
  • Develop on ARM-based embedded platforms using C, C++, python, golang or rust
  • Improve our embedded Linux build and deployment process
  • Develop software to automate hardware testing procedures
  • Build diagnostic and configuration tooling to enable our field team to interface with our hardware wirelessly from their phones.
  • Enable our research team to try new machine learning models on real hardware
  • Participate in hardware specifications for our next generation equipment
  • Participate in on-call for diagnosing and fixing device issues remotely and implementing procedures and tooling to help enable the field team to self-diagnose and fix issues themselves
Qualifications
  • Engineering or CS degree.
  • Software development on an embedded device
  • Experience writing and building software.
  • Professional experience with C, C++, Golang, Python or Rust.
Desired but Not Required
  • Solid understanding of TCP/IP
  • Real-Time Operating Systems (RTOS)
  • Buildroot, Yocto Project, toolchains, uBoot, UART, SPI, I2C interfaces
  • Experience with WiFi, BLE, LoRaWAN, Mesh Networking, Cellular Networks
  • Selecting hardware targeted for harsh environmental conditions
  • Ability to read a schematic
  • Experience with cloud environments such as AWS.
  • Experience deploying to off-site hardware.
  • Professional experience working with cameras.
  • Build and maintain fleet operations tools for monitoring, notifications, trending, and analysis.
  • Experience at a small & quickly growing startup
Benefits
  • Competitive salary and equity
  • Unlimited vacation policy
  • Flexible working hours + hybrid work policy
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.