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Field AI

Robotics QA/QC Engineer

Irvine, CAfull timemidAdded today

About this role

FieldAI seeks a Robotics QA/QC Engineer to test and validate embodied AI systems on physical robots and hardware in their Irvine lab. You'll execute manual and structured testing, document issues, work closely with engineering teams, and help improve QA processes for field-ready autonomous systems.

What you'll do

  • Execute manual and structured testing of robotic systems in lab and controlled environments
  • Monitor robot behavior during operation and identify bugs, anomalies, and edge cases
  • Capture detailed test logs and documentation of failures and performance issues
  • Partner with engineering teams to communicate issues and drive resolution
  • Validate fixes and perform regression testing on new builds and updates
  • Improve QA processes, test procedures, and operational checklists

What they're looking for

  • QA and testing methodologies
  • Robotics or autonomous systems knowledge
  • Troubleshooting and issue isolation
  • Technical documentation and communication
  • Bug tracking systems (e.g., Jira)
  • Python or Bash scripting
  • Sensor systems understanding (cameras, LiDAR, GPS)
  • Attention to detail and observational skills

Benefits

  • Work with cutting-edge robotics and embodied AI systems
  • Test on real hardware with real sensors in controlled environments
  • Collaborate with world-class team from DeepMind, NASA JPL, Boston Dynamics, and other leading organizations
  • Contribute to systems deployed globally in real-world field conditions
  • Hands-on role with direct impact on shipping products
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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 AI

Likely interview questions

  • Describe your experience testing physical systems or robots—what types of systems have you worked with and what was your testing approach?
  • Walk us through a time you identified and documented a complex bug or anomaly; how did you isolate the issue and communicate it to the team?
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