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Field AI

Builds AI that guides robots through changing sites

Robotics QA/QC Engineer

Manual & Functional QAConfirmed live in the last 24 hours
Full-time$30 - $45 /hr

About the Job

Requirements

  • A bachelor's degree in Computer Science or another relevant field is required.
  • At least 2 years of experience in QA, robotics testing, or hands-on technical roles is required; strong entry-level candidates with relevant experience or projects are also considered.
  • Comfort working with physical systems such as robots, vehicles, or machinery is required.
  • Strong attention to detail and observational skills are required.
  • Ability to document issues clearly and communicate findings is required.
  • Basic troubleshooting skills, including the ability to isolate and describe issues, are required.
  • Willingness to be hands-on and physically engaged during testing is required.
  • Reliability, methodical work habits, and safety-consciousness are required.

Responsibilities

  • Execute manual and structured testing of robotic systems in laboratory 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 covering failures, inconsistencies, and performance issues.
  • Partner with engineering teams to communicate issues clearly 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.

Desired Qualifications

  • Experience with robotics, autonomous systems, or electromechanical systems.
  • Familiarity with logging tools or bug-tracking systems such as Jira.
  • Basic scripting with Python or Bash for test support or data collection.
  • Understanding of sensor systems such as cameras, LiDAR, and GPS.
  • Experience with structured test plans, QA processes, or validation workflows.

About the Company

Field AI

Builds AI that guides robots through changing sites

Field AI builds autonomy software that lets mobile robots inspect and work in changing environments, including construction sites and industrial facilities. Its Field Foundation Models act as a shared control system for different machines, bringing perception, navigation and task planning together on the robot. Cameras and other sensors feed the system, while the platform sends site data into customers' project tools to track progress, record conditions and identify deviations from plans. The company sells commercial autonomy solutions and deployment services, integrating its software with robot manufacturers' equipment. Field AI was founded in 2023 and is headquartered in Irvine, California.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Irvine, CA
Founded
2023

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