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Image Processing Test Engineer Jobs (NOW HIRING)

Esri

Product Engineer II - Image Service

Redlands, CA · On-site

... and performance tests for image service operations, covering visualization, processing, and ... Collaborate closely with backend and DevOps engineers to translate user requirements into well ...

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Image Processing Test Engineer information

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$5

$62

$89

How much do image processing test engineer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for image processing test engineer 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 Test Engineer, and why are they important?

To thrive as an Image Processing Test Engineer, you need a strong background in computer science, mathematics, and image processing fundamentals, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with image processing libraries (e.g., OpenCV), and knowledge of automated testing frameworks are commonly required. Attention to detail, analytical thinking, and effective communication are vital soft skills for diagnosing issues and collaborating across teams. These competencies ensure accurate testing, robust product quality, and effective troubleshooting in the fast-evolving field of image processing.

What are the typical challenges faced by Image Processing Test Engineers during the validation of new algorithms or imaging systems?

Image Processing Test Engineers often encounter challenges such as dealing with large and complex datasets, ensuring consistent test conditions, and accurately measuring image quality metrics. Debugging issues that stem from hardware-software integration and managing differences in image outputs across various devices are also common. Effective communication with development and QA teams is essential to resolve ambiguities in requirements and to ensure comprehensive test coverage. Staying updated with evolving imaging standards and automation tools can also be demanding but is crucial for success in this role.

What does an Image Processing Test Engineer do?

An Image Processing Test Engineer is responsible for evaluating and validating the quality and performance of image processing systems, algorithms, and software. They design and execute test plans, analyze image data, and identify defects or areas for improvement in imaging solutions. Their work ensures that products like cameras, machine vision systems, or imaging software produce accurate and reliable results. They often collaborate with development teams to optimize image quality and troubleshoot issues.
Infographic showing various Image Processing Test Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $130,171 per year, or $62.6 per hour.
Image Processing Subject Matter Expert

Image Processing Subject Matter Expert

Legato, LLC

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Salary: $165,000-$230,000

Legato, LLCrecruiters (Staffing@legatocorp.com) would love to speak with you regarding the following position: Image Processing Subject Matter Expert in Annapolis Junction, MD
Security Clearance Required:TS/SCI with Polygraph
Salary Range:$165,000-$230,000, depending on experience.

*Eligible for Part Time or Full Time Work*
We are seeking:
An individual with experience analyzing and developing algorithms to correct scientific image data containing aberrations, lensing defects, optical anomalies, distortions, non-linearity, etc. Expertise in developing algorithms for object detection, feature extraction, and pattern recognition in high-resolution images, particularly from microscopes. Proficiency in stitching or combining multiple images into seamless mosaics, including handling alignment, blending, and geometric transformations for high-resolution microscopy data. Familiarity with image preprocessing techniques (e.g., noise reduction, contrast enhancement, edge detection) for microscopy data. Ability to handle large, high-resolution image datasets and optimize algorithms for performance and accuracy. Knowledge of training and deploying machine learning models for real-time or batch image analysis. Our minimum requirements for this role:

  • Experience working with imagery data or writing software dealing with imagery data.
  • Twelve (12) years experience in a similar role.
  • A masters degree or PhD in Electrical Engineering, Physics, Computer Science, Computer Engineering, Mathematics or similar.

About Your New Company
Legato, LLC is a dynamic small business headquartered in Columbia, near Ft. Meade, MD. Our positions include Cyber, Software, Systems, Networking, Data Science and other complex engineering capabilities. We set ourselves apart by having employees in the top of their field and who enjoy working at Legato for its attention to its employees, aggressive compensation, and upward mobility possibilities.
We offer a generous benefits package including individual and family health, vision and dental benefits. A minimum of four (4) weeks of paid time off including a week of sick leave. Legato gives our employees 11 federal holidays off and a 401(k) employer match with no vesting schedule. There is an opportunity to earn referral benefits or bank hours if the contract allows.

Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.


Legato LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status.