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Camera Isp Image Processing Jobs in Texas (NOW HIRING)

Hands-on experience implementing image processing or computational photography algorithms * Expert ... Experience with the raw image camera pipeline and image formats * Experience with onnx, coreml, and ...

Hands-on experience implementing image processing or computational photography algorithms * Expert ... Experience with the raw image camera pipeline and image formats * Experience with onnx, coreml, and ...

Sr. Computer Vision Engineer

Austin, TX ยท On-site

$152K - $220K/yr

D. in related field or equivalent industry experience. * 5+ years of industry experience developing computer vision and machine learning models for image processing. * Strong expertise in camera ...

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Hardware Dev Engr III - AMZ27156.1

Austin, TX ยท On-site

$137K - $185K/yr

Three years of experience using MATLAB, with skills in image processing, camera experience, and performing data collection and analysis. One year of experience in experimental design and execution ...

Camera calibration, image processing, video encoding/decoding, inference pipelines. * Background in robotics or autonomous systems. You've built software that interacts with the physical world in ...

Understanding of studio and set technologies including video walls, cameras, VR set technologies, image processing systems, touch screens, and lighting * Knowledge of multi-viewer systems and their ...

Understanding of studio and set technologies including video walls, cameras, VR set technologies, image processing systems, touch screens, and lighting * Knowledge of multi-viewer systems and their ...

Research Technician I

Kingsville, TX

$16.75 - $23.25/hr

Camera maintenance includes collecting and redeploying SD cards,maintainingbatteries, and moving ... Image Processing and Database Support * Assistwith photo processing and species identification.

Camera equipment provided * Career advancement with opportunities for promotion * Annual review ... Follow company processes to ensure accurate image processing and workflow completion * Work ...

Camera equipment provided * Career advancement with opportunities for promotion * Annual review ... Follow company processes to ensure accurate image processing and workflow completion * Work ...

Camera equipment provided * Career advancement with opportunities for promotion * Annual review ... Follow company processes to ensure accurate image processing and workflow completion * Work ...

Camera equipment provided * Career advancement with opportunities for promotion * Annual review ... Follow company processes to ensure accurate image processing and workflow completion * Work ...

Camera equipment provided * Career advancement with opportunities for promotion * Annual review ... Follow company processes to ensure accurate image processing and workflow completion * Work ...

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Camera Isp Image Processing information

See Texas salary details

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

As of Jul 5, 2026, the average hourly pay for camera isp image processing in Texas is $20.95, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $23.08 per hour, depending on experience, location, and employer.

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 job categories do people searching Camera Isp Image Processing jobs in Texas look for? The top searched job categories for Camera Isp Image Processing jobs in Texas are:
What cities in Texas are hiring for Camera Isp Image Processing jobs? Cities in Texas with the most Camera Isp Image Processing job openings:
Software Engineer, AI Inference / HPC

Software Engineer, AI Inference / HPC

Topaz Labs

Dallas, TX โ€ข On-site

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

54,000 new photos are taken every second, and 600 hours of video are uploaded every minute. At Topaz Labs, we help over 1 million paying customers (including teams at Google, Nvidia, and NASA) maximize the visual quality of over 1 billion of these photos and videos.ย 

About us

Topaz Labs is a full-stack AI company that develops, trains, and deploys generative AI models for image and video enhancement. We're the best in the world at improving image and video quality, and produce several award-winning desktop products that millions of people rely on.ย 

About the roleย 

As a Software Engineer supporting our AI Engine, you would report to our Head of AI Engine, and use your expertise to improve performance of our internal AI Engine. Your responsibilities will be to increase app performance, stability, availability of new features and simplify and improve the API of the framework. You will be the technical bridge between our Deep Learning research team and our variety of Production products that rely on our models. You'll support our research team by helping prepare new & updated models for production and helping with GPU/CPU optimization. You'll also work with various hardware partners (NVIDIA, AMD, Intel, Apple) to optimize inference on their hardware.

About you
  • Hands-on experience with performance optimization, e.g. concurrency, multithreading, memory, speed, benchmarking, reliability
  • Experience architecting APIs for internal development
  • Hands-on experience implementing image processing or computational photography algorithms
  • Expert knowledge of C/C++
  • At least 1+ years of professional working experience in a related field

Preferred
  • Experience with video encoding/decoding and file formats
  • Experience with OpenCV, ffmpeg, GPU programming
  • Experience with the raw image camera pipeline and image formats
  • Experience with onnx, coreml, and tensorRT runtime SDKs
  • Interest in photography or videography
$110,000 - $150,000 a year
Compensation will depend on experience and skills, and will also include equity and profit sharing.
Do you meet most but not 100% of the above? We'd still like to hear from you-we are passionate about developing a diverse team and culture, so please apply if you're interested!ย 

This is a unique role for someone interested in making a deep impact at a high-growth tech software company. We offer strong base salary, plus significant ownership that scales with the company's growth. We also offer 100% covered medical/dental/vision for employees, 15 days annual PTO, 5 days of personal time plus holidays, and 401k matching. This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the area.
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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