Robotics QA / QC Engineer

Field Ai

Irvine, US

Career-pivot friendly

Who this role is best for

Best suited to mid-level engineers with hands-on robotics QA experience working in real hardware deployments.

Best fit for

Engineers who thrive in hardware-integrated AI testing environments
— “real robots, real sensors, and real field deployments”
Candidates with experience bridging AI models and physical systems
— “combining rigorous engineering with learning systems”
Professionals seeking iterative improvement through real-world deployments
— “get better every time our robots run in the field”

Things to consider

Requires comfort with hardware testing beyond pure software validation
— “get tested on hardware”
Solutions must deliver immediate results while improving iteratively
— “deliver results today and get better”

How to stand out

Demonstrate specific examples of risk mitigation in robotics deployments
— “build risk-aware, reliable, field-ready AI systems”
Showcase experience with non-transformer architectures in production
— “beyond typical data-driven approaches or pure transformer-only architectures”
Highlight metrics showing reliability improvements in field robotics
— “globally deployed solutions that deliver results”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

reliable AI systems
successful field deployments

Typical background

robotics QAembedded AI

Skills & requirements

Required

Robotics QAQCHardware TestingAI Systems

Preferred

Field DeploymentsRisk-aware Systems

Stack & domain

RoboticsQuality AssuranceQuality Control

About the role

Original posting from Field Ai via Lever

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, 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 go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Source: Field Ai careers (Lever)