Robotics QA/QC Engineer
Quick Summary
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,
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
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
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
Location & Eligibility
About this job
- Pay per year
- ≈ $62,400–$93,600 a year
- 54% below the $170,000 median for Robotics Engineer jobs on Jobera (28 salaries).
- Who can apply
- United States
- Posted
- 22 days ago
Listing Details
- Posted
- September 23, 2026
- First seen
- September 23, 2026
- Last seen
- October 16, 2026
Posting Health
- Days active
- 22
- Repost count
- 0
- Trust Level
- 41%
- Scored at
- October 16, 2026
Signal breakdown
Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.
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