Robotics QA/QC Engineer

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You Get to Do: 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 What You Bring: Bachelors Degree in Computer Science or other relevant field 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 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 What Sets You Apart: Experience with robotics, autonomous systems, or electromechanical systems Familiarity with logging tools or bug tracking systems (e.g., Jira) Basic scripting (Python, Bash) for test support or data collection Understanding of sensor systems (cameras, LiDAR, GPS, etc.) Experience with structured test plans, QA processes, or validation workflows