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Image Processing Test Engineer Jobs (NOW HIRING)

Gather AI

Test Engineer

Pittsburgh, PA · On-site

The Test Engineer will strengthen the testing and validation layer for the MHE Vision platform ... image processing, or ML model output validation • SQL or database querying experience for data ...

Google

Image Processing Engineer

Mountain View, CA · On-site

They are seeking an Image Processing Engineer to optimize image quality across hardware and software, fine-tune algorithms, and build software tools utilizing machine learning for image quality ...

Gather AI

Test Engineer

Pittsburgh, PA · On-site

About the Role We are looking for a Test Engineer to join our Pittsburgh team and strengthen the ... Exposure to computer vision, image processing, or ML model output validation * SQL or database ...

Gather AI

Test Engineer

Pittsburgh, PA · On-site

About the Role We are looking for a Test Engineer to join our Pittsburgh team and strengthen the ... Exposure to computer vision, image processing, or ML model output validation * SQL or database ...

Gather AI

Test Engineer

Pittsburgh, PA · On-site

About the Role We are looking for a Test Engineer to join our Pittsburgh team and strengthen the ... Exposure to computer vision, image processing, or ML model output validation * SQL or database ...

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Image Processing Test Engineer information

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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.
Test Engineer

Test Engineer

Gather AI

Pittsburgh, PA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Gather AI is pioneering a new era of warehouse intelligence with its groundbreaking vision-powered platform. The Test Engineer will strengthen the testing and validation layer for the MHE Vision platform, working hands-on with real data and systems to improve product quality.
Responsibilities:
• Manually analyze large transaction datasets (100+ records) to extract ground truth, identify anomalies, mismatches, and edge cases, and validate system outputs against expected behavior
• Build and maintain regression test infrastructure, integrating new edge cases sourced from field deployments into the existing test suite
• Participate in integrated system tests in the Pittsburgh lab alongside systems engineers, executing test procedures and documenting results
• Perform first-level root cause analysis (RCA) on test failures and route issues clearly to the appropriate engineering owners
• Develop structured processes for collecting and cataloging field edge cases into repeatable test cases
• Contribute to continuous improvement of the test and validation pipeline through clear documentation, reporting, and collaboration with engineering leads
Qualifications:
Required:
• 1–3 years of experience in test engineering, QA, data analysis, or a related technical role (internship experience counts)
• Strong analytical and data review skills — comfortable working through large datasets methodically and accurately
• Python proficiency for data processing, test scripting, and automation tasks
• BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
• Must be based in or willing to work on-site in Pittsburgh (lab access required)
Preferred:
• Experience with log analysis, telemetry, or sensor data review
• Familiarity with CI/CD pipelines (GitHub Actions, Jenkins) or test pipeline integration
• Exposure to computer vision, image processing, or ML model output validation
• SQL or database querying experience for data extraction and validation
Company:
We deliver the foundational intelligence layer for the intralogistics industry. Founded in 2017, the company is headquartered in Pittsburgh, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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