Robotics QA / QC Engineer

Field AI; Irvine (CA); On-site; USD 41,328 - 61,992; Full time

Job summary

Field AI in Irvine is seeking a Robotics QA / QC Engineer to validate and test robotic systems. You will execute testing in controlled environments and monitor system behaviors to ensure reliability before deployment.

This role involves close collaboration with engineering teams to identify issues and improve system quality. Ideal candidates have a Bachelor's degree in Computer Science and strong attention to detail.

The compensation for this role ranges from $30 to $45 per hour, depending on experience.

Qualifications

• 2+ years of experience in QA, robotics testing, or technical roles.
• Comfort working with physical systems like robots and machinery.
• Ability to document issues and communicate findings.

Responsibilities

• Execute manual and structured testing of robotic systems.
• Monitor robot behavior to ensure safe operations.
• Identify, document, and reproduce bugs and anomalies.

Skills

Attention to detail

Observational skills

Basic troubleshooting skills

Education

Bachelor's Degree in Computer Science or relevant field

Tools

Jira

Python

Bash

Job description

Robotics QA / QC Engineer

FieldAIs 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 are looking for a Robotics QA/QC Engineer to own hands‑on validation and testing of robotic systems in controlled environments at our Irvine facility.

In this role, you will work directly with robots, monitor system behavior, identify issues, and ensure reliable and safe operation prior to deployment. You will collaborate closely with engineering teams to surface bugs, validate fixes, and improve overall system quality.

This is a highly practical, execution‑focused role where you will be deeply involved in day‑to‑day testing and validation of physical systems. If you enjoy working with hardware, troubleshooting in real time, and being the final quality gate before systems ship, this role is for you.

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:

• Bachelor's 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

Compensation:

$30 - $45 an hour

EEO Statement:

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.