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Image Processing Entry Level Jobs (NOW HIRING)

US Tech Solutions

Engineer Degreed I

Santa Clara, CA

... and/or signal/image processing and/or image segmentation, and/or computer vision programing in ... Mechanical, Electrical, Industrial, Manufacturing, Chemical, Quality, etc. Entry level to 3 yrs ...

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Image Processing Entry Level information

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$5

$62

$89

How much do image processing entry level jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for image processing entry level in the United States is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Image Processing Entry Level professional, and why are they important?

To thrive as an Image Processing Entry Level professional, you need a solid understanding of image analysis fundamentals, programming skills in languages like Python or MATLAB, and a bachelor's degree in computer science, engineering, or a related field. Familiarity with technical tools such as OpenCV, MATLAB Image Processing Toolbox, and basic machine learning frameworks is typically expected. Strong attention to detail, problem-solving ability, and effective teamwork are essential soft skills for this role. These competencies enable accurate analysis and manipulation of visual data, ensuring high-quality outputs and successful project collaboration.

What does an entry-level image processing professional do?

An entry-level image processing professional assists in analyzing, enhancing, and manipulating digital images using specialized software and algorithms. Their tasks often include preprocessing images, performing basic editing, applying filters, and developing or testing image recognition models under supervision. They typically work closely with engineers and data scientists to support projects in fields like medical imaging, computer vision, and multimedia. Entry-level roles are ideal for gaining hands-on experience with image processing tools and learning industry standards.

What is the difference between Image Processing Entry Level vs Computer Vision Technician?

AspectImage Processing Entry LevelComputer Vision Technician
Required CredentialsAssociate's or Bachelor's in Computer Science, Electrical Engineering, or related fieldSimilar educational background, often with additional certifications in computer vision or AI
Work EnvironmentOffice, lab, or remote settings focusing on image data analysisLaboratory or industrial environments working on vision systems and hardware integration
Industry UsageMedia, healthcare, security, and manufacturing sectorsAutonomous vehicles, robotics, surveillance systems

Image Processing Entry Level and Computer Vision Technician roles share similar educational backgrounds and work environments. However, Computer Vision Technicians often focus more on hardware integration and advanced vision systems, while entry-level roles may concentrate on basic image analysis tasks. Both roles are vital in industries leveraging visual data, with the technician position typically requiring more specialized skills.

What are typical projects or tasks an entry-level image processing professional might work on?

As an entry-level image processing professional, you may assist with tasks such as annotating and labeling datasets, implementing basic image enhancement techniques, and supporting the development of automated image analysis pipelines. You will likely collaborate closely with data scientists and engineers to prepare data for machine learning models, conduct quality checks, and troubleshoot image-related issues. This hands-on experience helps build foundational skills in image processing tools and software, and provides valuable exposure to team-based workflows and project cycles.
What cities are hiring for Image Processing Entry Level jobs? Cities with the most Image Processing Entry Level job openings:
What are the most commonly searched types of Image Processing jobs? The most popular types of Image Processing jobs are:
What states have the most Image Processing Entry Level jobs? States with the most job openings for Image Processing Entry Level jobs include:
What job categories do people searching Image Processing Entry Level jobs look for? The top searched job categories for Image Processing Entry Level jobs are:
Image Processing Entry Level jobs near you
Infographic showing various Image Processing Entry Level job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 79% Full Time, 12% Part Time, 2% Temporary, and 5% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.

Software Engineer - Software Engineer - GPU, C++, OpenCL, CUDA

Hudson Manpower

Waukesha, WI • On-site

Contractor

Re-posted 27 days ago

Job description

Position: Software Engineer - GPU, C++, OpenCL, CUDA
Location: Waukesha, WI (Onsite)
Exp: 5 - 9 yrs
Key Skills: GPU, C++, OpenCL, CUDA, OneAPI, Matlab
Only USC / GC
Job Requirements
The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.
Primary Objective:
  1. Leverage proprietary software platform to implement image processing algorithms on GPUs. (C++/OpenCL/CUDA/OneAPI)
  2. Improve image chain performance using heterogeneous high-performance computing (HPC) to meet customer expectations
  3. Ensure quality and compliance of productized code per regulatory expectations

Detailed Requirements:
  1. Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, or OpenCL to CUDA
  2. Improved image chain & algorithm performance compared to initial benchmarks
  3. Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues
  4. Improve GPU utilization leveraging heterogenous HPC knowledge.
  5. Perform testing, reliability analysis, performance benchmarks and document results
  6. Execute test procedures with high quality and rigor, following Good Documentation Practices

Work Experience
Skills:
  1. Programming Languages: C++, OpenCL, CUDA, OneAPI
  2. Image Processing Algorithms: Implementation and optimization on GPUs
  3. High-Performance Computing (HPC): Knowledge of heterogeneous HPC
  4. Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues
  5. Testing and Documentation: Performing testing, reliability analysis, performance benchmarks, and documenting results following Good Documentation Practices

Additional Experience:
Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU
Porting Algorithms: Experience in porting algorithms from Matlab to GPU or OpenCL to CUDA
Improving Performance: Proven track record of improving image chain and algorithm performance compared to initial benchmarks
Quality and Compliance: Ensuring quality and compliance of productized code per regulatory expectations
Best regards,
Prasad Kalsekar | Hudson Manpower
Email: prasad@hudsonmanpower.com

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