Infrastructure Security Engineer

Field AI; Irvine (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Field AI is seeking an Infrastructure Security Engineer to secure the cloud infrastructure and deployment platforms for its autonomous robotic systems. This role involves collaboration with engineering teams to improve the security of large-scale systems in production environments.

The ideal candidate should have hands-on experience in Kubernetes security and cloud-native infrastructures, contributing to the reliability and security of critical operational systems.

Qualifications

• Experience with securing cloud infrastructure and deployment platforms.
• Hands-on engineering skills in Kubernetes security.
• Familiarity with CI/CD systems and software supply chains.

Responsibilities

• Secure the cloud infrastructure for FieldAI’s robotic systems.
• Design and improve security for large-scale distributed systems.
• Collaborate with engineering teams to enhance system security.

Skills

Kubernetes security

Cloud-native infrastructure

CI/CD systems

Identity and access management

Production deployment platforms

Job description

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.

About the Job

The Infrastructure Security Engineer will secure the cloud infrastructure and deployment platforms powering FieldAI’s autonomous robotic systems. You will work closely with engineering teams to design, assess, and improve the security of large‑scale distributed systems operating in production environments. This is a hands‑on engineering role focused on Kubernetes security, cloud‑native infrastructure, CI/CD systems, software supply chains, identity and access management, and production deployment platforms. Your work will directly impact the reliability, resilience, and security of critical infrastructure supporting real‑world autonomous system operations.

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.