Field AI
Robotics QA / QC Engineer
About this role
FieldAI seeks a hands-on Robotics QA/QC Engineer to validate and test robotic systems at their Irvine facility before field deployment. You'll work directly with hardware, identify issues, and collaborate with engineering teams to ensure reliable, safe operation of AI-powered robots.
What you'll do
- Conduct hands-on testing and validation of robotic systems in controlled lab environments
- Monitor system behavior and identify bugs or performance issues
- Collaborate with engineering teams to surface problems and validate fixes
- Ensure safety and reliability standards are met before deployment
- Document test results and troubleshoot hardware and software integration issues
- Serve as quality gate for systems shipping to field deployments
What they're looking for
- Robotics testing and validation
- Hardware troubleshooting
- Problem identification and documentation
- System integration understanding
- Real-time debugging
- Test methodology and QA processes
- Communication with cross-functional teams
- Hands-on technical aptitude
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Field AI
Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.
View all jobs at Field AILikely interview questions
- Walk us through your experience testing robotic systems or hardware—what types of issues have you identified and how did you communicate them to engineering teams?
- Describe a time when you had to troubleshoot a complex hardware or sensor issue in real time. How did you approach it?