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Camera Isp Image Processing Jobs in Kentucky (NOW HIRING)

$150K - $277K/yr

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident ...

$184K - $277K/yr

Develop image processing algorithm for image quality metrics * Incubate new metrology for next ... Experience with camera ISP pipeline and 3A * Experience with megapixel CMOS image sensor technology ...

$216K - $324K/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 ...

$150K - $277K/yr

GPU Image Processing Framework Software Engineer Cupertino, California, United States Software and ... Description We are looking for a software engineer to join the Apple Camera and Photos team to help ...

$144K - $263K/yr

Hands-on image quality evaluation using charts, light boxes, or measurement equipment * Experience ... ISP pipeline, 3A, video formats, or color spaces * Demonstrated use of with AI-assisted engineering ...

$122K - $183K/yr

Strong background in image processing, computer vision, or camera systems. * Experience with camera ... Exposure to ML‑assisted or hybrid ISP imaging solutions. * Experience supporting camera features ...

$150K - $225K/yr

Understanding of camera system architecture, including optical components, system integration, image/depth sensor and image signal processing * Knowledge of failure analysis techniques including ...

$36K - $49K/yr

The successful candidates will develop an integrated image-processing pipeline and apply it to ... cameras), to high dimension images such as those used in radio astronomy as evidenced by the CV

$45 - $62/hr

... image processing (e.g. OpenCV), PLCs, and CAD/CAM software * Experience with creating libraries to communicate with external devices / sensors (e.g. IR / visual color cameras, laser profilometers ...

$82K - $97K/yr

... cameras, Industrial PCs (IPCs), and Programmable Logic Controllers (PLCs) to capture, process, and ... Key Responsibilities Design and implement robust object detection and image classification ...

$140K - $200K/yr

Practical command of illumination sources, objective/optics selection, and cameras/detectors. * Ability to code for instrument control, automation, and image processing and analysis. * Ability to ...

$76K - $103K/yr

... processing, high-speed data acquisition, real-time networking, or similar), including: * FPGA ... with camera/image sensor hardware: SerDes (GMSL, FPD-Link, or similar), MIPI CSI-2, and ISP ...

... processing, high-speed data acquisition, real-time networking, or similar), including: * FPGA ... with camera/image sensor hardware: SerDes (GMSL, FPD-Link, or similar), MIPI CSI-2, and ISP ...

Experience with motion control systems, cameras, image acquisition hardware, and integrated imaging ... Knowledge of machine vision and image processing methods such as feature extraction, edge detection ...

$184K - $324K/yr

As part of our Camera Technologies group, you'll help design the innovative technology that allows ... Distributed processing / simulations at scale. * Experience with algorithms for image quality ...

$82K - $97K/yr

Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse. * Design and generate simulated data for rapid testing of proof ...

Background in optical hardware-systems such as cameras, displays, and familiarity with image processing. Strong understanding of Linux OS internals, process management, low-level I/O, cross-platform ...

New

Strong background in machine learning, computer vision, and image processing techniques. * Experience with machine vision hardware and software tools (e.g., cameras, lighting, VisionPro, OpenCV ...

$44.25 - $57.25/hr

Deep experience with AVFoundation, camera pipelines, and real-time image processing * Production experience building SDKs or frameworks consumed by third-party developers * Understanding of Core ML ...

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Camera Isp Image Processing information

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 Kentucky?

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

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

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

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

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

Camera Image Processing Engineer

On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees

$150K - $277K/yr

Other

Medical, Dental, Retirement

Posted 8 days ago


Key responsibilities

  • Analyze raw sensor data from camera modules and identify issues.

  • Develop and implement algorithms to address image artifacts and hardware deficiencies, running efficiently on the GPU.

  • Work with early-phase hardware prototypes to gather sensor information.


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Cupertino, California, United States Software and Services

iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos which deliver magical experiences that surprise and delight our customers!The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident that your work will still give a high quality image in the end.

Description

We are looking for candidates with some basic image processing experience, and some familiarity with writing code on GPUs. In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to handle any problems. You can be called upon to fix problems arising from sensors, optics or control systems (such as auto focus and optical image stabilization). As such we do not expect you to be an expert on these things - there are too many to know them all! But we are looking for candidates with a demonstrated capability for creative thinking and quick learning. We increasingly use GenAI tools to help accelerate coding, but every change goes through a human review layer, so strong engineering judgment matters as much as raw output. Our team also designs traditional ML algorithms that run directly on the Apple Neural Engine (ANE).

Responsibilities
  • Work with early-phase hardware prototypes to gather sensor information.
  • Analyse sensor data from camera modules.
  • Develop algorithms to address any image artifacts coming from hardware deficiencies.
  • Implement algorithms on-device to run efficiently on the GPU.
Minimum Qualifications
  • Strong programming skills, particularly on Apple platforms - notably Swift, Metal, and Objective-C.
  • Some experience with image processing algorithms implemented on GPUs.
  • Graphics programming experience - comfortable working directly with pixels.
  • Exposure to machine learning, particularly as applied to image processing.
  • M.S. or Ph.D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of experience in a related field.
Preferred Qualifications
  • An understanding of photography and what makes an image look good or bad. Photography in challenging conditions, such as low-light or high movement is particularly useful.
  • Experience with an existing camera image processing pipeline.
  • Strong experience with optimizing GPU workloads to run efficiently.
  • Experience with performance-oriented, high-throughput compute.
  • A demonstrated track record of algorithm development - solving novel problems rather than applying known recipes.
  • Experience designing or deploying traditional ML algorithms that run on the Apple Neural Engine (ANE).

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976