Robotics QA Engineer — Field Testing & Validation

FieldAI; Peoria (IL); On-site; USD 41,000 - 62,000; Full time

Job summary

FieldAI’s Irvine-based team is seeking a QA Engineer to execute manual and structured testing of robotic systems in lab and controlled environments. You will monitor robot behavior, document issues, reproduce edge cases, and capture detailed logs to support robust field-ready deployments.

Collaborating with engineering, you will drive issue resolution, validate fixes, and improve QA processes while staying hands-on with hardware tests and safety-conscious workflows in Irvine.

Qualifications

• 2+ years of experience in QA, robotics testing, or hands-on technical roles (open to strong entry-level candidates with relevant experience or projects)
• Comfort working with physical systems (robots, vehicles, or machinery)
• Strong attention to detail and observational skills
• Ability to clearly document issues and communicate findings
• 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

Attention to detail

Documentation

Hands-on testing

Communication

Observational skills

Education

Bachelor's Degree in Computer Science

Tools

Jira

Bug tracking tools

Job description

FieldAI’s Irvine-based team is seeking a QA Engineer to execute manual and structured testing of robotic systems in lab and controlled environments. You will monitor robot behavior, document issues, reproduce edge cases, and capture detailed logs to support robust field-ready deployments.

Collaborating with engineering, you will drive issue resolution, validate fixes, and improve QA processes while staying hands-on with hardware tests and safety-conscious workflows in Irvine.