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Camera Isp Image Processing Jobs in Utah (NOW HIRING)

The project is performed on cars with 360 cameras mounted on top that image the area around the ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

The project is performed on cars with 360 cameras mounted on top that image the area around the ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

The project is performed on cars with 360 cameras mounted on top that image the area around the ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

With the proper process, cutting-edge technology, and a mission to Make Life Better, Unicity is ... This is a hands-on, camera-and-laptop role. You'll be judged less on a resume and more on what you ...

With the proper process, cutting-edge technology, and a mission to Make Life Better, Unicity is ... This is a hands-on, camera-and-laptop role. You'll be judged less on a resume and more on what you ...

Sr Software Engineer, AI Engineer

Lehi, UT

$115K - $151K/yr

About This Role As an AI Engineer on the Camera AI team, you will work alongside a group of ... Image, Audio, Radar, Signal Processing * Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, ...

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

About This Role As an AI Engineer on the Camera AI team, you will work alongside a group of ... Image, Audio, Radar, Signal Processing * Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, ...

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

About This Role As an AI Engineer on the Camera AI team, you will work alongside a group of ... Image, Audio, Radar, Signal Processing * Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, ...

Showing results 21-35

Camera Isp Image Processing information

See Utah salary details

$12

$20

$26

How much do camera isp image processing jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for camera isp image processing in Utah is $20.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $22.55 per hour, depending on experience, location, and employer.

What is a camera ISP image processing engineer?

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 the key skills and qualifications needed to thrive as a camera ISP image processing engineer?

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 are common challenges faced by professionals working in camera ISP image 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 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 are popular job titles related to Camera Isp Image Processing jobs in Utah?

For Camera Isp Image Processing jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Camera Isp Image Processing jobs in Utah look for?

The top searched job categories for Camera Isp Image Processing jobs in Utah are:

What cities in Utah are hiring for Camera Isp Image Processing jobs?

Cities in Utah with the most Camera Isp Image Processing job openings:

Driver / Data Collector in Delta, UT

Delta, UT

Full-time

Re-posted 2 days ago


Job description

Company description
 
Service Measure (SM) is a field data collection company founded in 2013 in New York. 
 
We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
 
Project objective
 
The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.
 
The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. 
 
The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.
 
The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.
Requirements:
  • Must have a valid Driver Licence;
  • Good driving skills and clean driving record;
  • General car knowledge would be a plus;
  • Enjoys driving, within standard business hours;
  • Available for a minimum of 3 months;
  • Must have private monitored parking space for corporate vehicle;
  • Great communication and reporting skills;
  • Tech savvy (drivers will use Gmail, Google Forms and Google Meet);
  • High level of responsibility;
  • Self-motivated and detail oriented; 
  • Must be able to successfully pass a background check (criminal and driving record).
 
We would be happy to get to know you and your skills better and see how we can support each other's growth.
 
Please apply and let's meet!
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.
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