Test Engineer

Gather AI • Pittsburgh, PA

2d • Onsite

About The Position

We are looking for a Test Engineer to join our Pittsburgh team and strengthen the testing and validation layer for our MHE Vision platform. You will work hands-on with real data and real systems — analyzing large transaction datasets to extract ground truth, building and maintaining regression test infrastructure, and contributing to integrated system tests in our lab. This is a high-impact early-career role with real ownership and visibility. Your analysis directly improves product quality for customers, and you’ll have the opportunity to grow into test automation, systems engineering, or QA leadership as the company scales.

Requirements

• 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)

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level