Not Applicable
Posted April 5, 2026
Job link
Thinking about this job
Responsibilities
Commitments
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
Commitments
Must be based in or willing to work on-site in Pittsburgh (lab access required)
Not Met Priorities
What still needs stronger evidence
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
- Must be based in or willing to work on-site in Pittsburgh (lab access required)
Preferred Skills
- 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
Education
- (Not required) – BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
About Us
Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.
If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About The Team
You’ll work most closely with the systems engineers on the MHE Vision platform. You’ll collaborate with the MHEV team on integrated system testing and debugging, with the ML team on validating model outputs against ground truth data, and with Customer Support and Product Management on field-reported edge cases and quality priorities.
About The Role
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.
What You’ll Do
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 You’ll Need
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 Have
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
Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.
If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About The Team
You’ll work most closely with the systems engineers on the MHE Vision platform. You’ll collaborate with the MHEV team on integrated system testing and debugging, with the ML team on validating model outputs against ground truth data, and with Customer Support and Product Management on field-reported edge cases and quality priorities.
About The Role
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.
What You’ll Do
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 You’ll Need
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 Have
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