Robotics QA Engineer: Hands-On Testing & Validation

FieldAI

Irvine (CA)

On-site

USD 70,000 - 110,000

Full time

15 hours ago
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Job summary

FieldAI in Irvine, CA is seeking a QA tester for robotics systems to execute manual and structured testing in lab environments and monitor behavior during operation.

You will document bugs, reproduce edge cases, capture detailed logs, and work with engineering to drive fixes. This role requires hands-on testing with physical systems and a safety-minded approach, collaborating across AI, software, and robotics engineering teams.

Qualifications

  • Bachelor’s degree in CS or related field.
  • 2+ years of QA or robotics testing experience, or strong project work.
  • Comfort working with physical systems (robots, vehicles, or machinery).
  • Strong attention to detail and observational skills.
  • Ability to clearly document issues and communicate findings.
  • Basic troubleshooting skills with the ability to isolate and describe issues.
  • Willingness to be hands-on and physically engaged during testing.
  • Reliable, methodical, and safety-conscious.

Responsibilities

  • Execute manual and structured testing of robotic systems in lab and controlled environments
  • Monitor robot behavior during operation to ensure safe and expected performance
  • Identify, document, and reproduce bugs, anomalies, and edge cases
  • Capture detailed test logs including failures, inconsistencies, and performance issues
  • Partner with engineering teams to clearly communicate issues and drive resolution
  • Validate fixes and perform regression testing on new builds and updates
  • Improve QA processes, test procedures, and operational checklists
  • Support ongoing system validation and provide real-time feedback on performance

Skills

Robotics QA
Manual testing
Documentation
Python scripting

Education

Bachelor’s degree in Computer Science or related field

Tools

Jira

Job description

FieldAI in Irvine, CA is seeking a QA tester for robotics systems to execute manual and structured testing in lab environments and monitor behavior during operation.

You will document bugs, reproduce edge cases, capture detailed logs, and work with engineering to drive fixes. This role requires hands-on testing with physical systems and a safety-minded approach, collaborating across AI, software, and robotics engineering teams.

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