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Camera Isp Image Processing Jobs in California (NOW HIRING)

Apple

Camera Embedded Software Engineer

Cupertino, CA · On-site

$162K - $213K/yr

As part of the team you would work on core camera/ISP/Machine learning technologies, including Apple crafted Image signal processing pipeline and HW components, where you will have the chance to ...

Apple

Software Engineer - Camera

Cupertino, CA · On-site

Familiarity with image signal processing (ISP) pipelines or camera systems. Experience with macOS or iOS driver and kernel-level development. Excellent written and verbal communication skills; able ...

Apple

Embedded Quality Engineer - Camera

Cupertino, CA · On-site

$162K - $213K/yr

... process Preferred Qualifications Experience shipping high-volume consumer hardware Hands-on image ... ISP pipeline, 3A, video formats, or color spaces Demonstrated use of with AI-assisted engineering ...

Apple

Camera Embedded Software Engineer

Cupertino, CA · On-site

$162K - $213K/yr

As part of the team you would work on core camera/ISP/Machine learning technologies, including Apple crafted Image signal processing pipeline and HW components, where you will have the chance to ...

Apple

Camera Tuning & Image Quality Engineer

San Francisco, CA · On-site

$84K - $109K/yr

The Camera & Photos team focuses on user-experience by applying computer vision and image processing through machine learning. We're looking for someone with a real passion for photography, and gets ...

Apple

Software Engineer - Camera

Cupertino, CA

$150K - $277K/yr

Familiarity with image signal processing (ISP) pipelines or camera systems. Experience with macOS or iOS driver and kernel-level development. Excellent written and verbal communication skills; able ...

Qualcomm

Staff Camera Engineer

San Diego, CA · On-site

Design and develop new image-processing features for next-generation camera systems. * Architect and implement drivers for advanced imaging hardware (ISP). * Contribute to the design of camera ...

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Camera Isp Image Processing information

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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 California is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $24.42 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 California?

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Camera Isp Image Processing jobs near you
Infographic showing various Camera Isp Image Processing job openings in California as of September 2026, with employment types broken down into 1% As Needed, 64% Full Time, 31% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $46,169 per year, or $22.2 per hour.

GEO Semiconductor - ISP Firmware Engineer

San Jose, CA • On-site

Beyond SOF
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Beyond SOFexternal

$171K - $200K/yr

Full-time

Re-posted yesterday

Job description

ISP Firmware Engineer
Experience level: Mid-senior
Experience required: 5 Years
Education level: Bachelor's degree
Job function: Information Technology
Industry: Semiconductors
Compensation: $171,000 - $200,000
Total position: 1
Relocation assistance: Yes
Visa : Only US citizens and Greencard holders
About GEO Semiconductor
GEO Semiconductor (GEO), headquartered in San Jose, CA, is an industry leader in delivering programmable camera video processors to the rapidly growing automotive camera market. GEO's products feature advanced image signal processing, unique eWARP® processing technology, and state of the art neural network-based computer vision solutions. GEO ships camera video processors in diverse automotive applications such as ADAS, autonomy, in-cabin monitoring, digital mirrors, smart backup and augmented reality cameras.
POSITION DETAILS:
Located in the San Jose headquarters, you will have the following responsibilities:
  • Design, develop, verify and optimize 3A firmware algorithms on GEO's high-performance ICs
  • Architect and implement real-time control firmware for ISP pipeline blocks including image enhancement, noise reduction, high dynamic range and other image processing tasks
  • Support integration of image sensor configurations into GEO's embedded real-time environment
  • Support GEO's Image Quality and Application Engineering teams to realize customer productization of GEO ISPs in human and machine vision automotive applications
  • Continually improve GEO's embedded software while supporting lab validation environments for competitive benchmarking and Image Quality (IQ) enhancements
  • Write training materials and documentation for applications engineers and customers

REQUIRED QUALIFICATIONS
  • BS, MS or PhD degree in imaging science, EE, CS, physics or equivalent years of on-the-job experience
  • Strong programming skills in C/C++ (must-have) and MATLAB/Python (good-to-have)
  • Prior professional hands-on experience successfully implementing embedded firmware solutions with real-time constraints in the field of image processing.
  • Expertise in ISP imaging pipelines, HDR architectures, color science and image quality metrics
  • Data driven mindset, scientific methodology and hands-on experimental abilities

Apply