Salary Range: 135000 to 180000 (Currency: USD) (Pay period: per-year-salary)

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.

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.

What You’ll Get To Do

Design and improve the security architecture of cloud-native infrastructure and Kubernetes environments
Secure CI/CD systems, software supply chains, build pipelines, and deployment workflows
Improve identity, authentication, secrets management, and access control across production systems
Harden Kubernetes clusters, containerized workloads, and runtime environments against modern attack vectors
Conduct threat modeling and security reviews across infrastructure and operational systems
Partner closely with engineering teams to integrate practical security controls into development and operational workflows
Investigate vulnerabilities affecting production infrastructure and help drive remediation and resilience improvements
Help define security standards and best practices for large-scale distributed systems and operational infrastructure

What You Have

Bachelor’s degree in Computer Science, Computer Engineering, Cybersecurity, or a related technical field
5+ years of experience in infrastructure security, cloud security, platform security, SRE, or related domains
Strong software engineering, systems engineering, and networking fundamentals
Experience securing cloud infrastructure and distributed production systems
Experience with Kubernetes, containerized environments, CI/CD systems, and infrastructure automation
Familiarity with identity and access management, secrets management, authentication systems, and secure infrastructure design
Experience with threat modeling, security architecture reviews, vulnerability management, or adversarial security assessments
Strong collaboration and communication skills with the ability to work cross-functionally across infrastructure and engineering teams
Practical engineering judgment and the ability to balance security, operational reliability, scalability, and development velocity

The Extras That Set You Apart

Experience securing large-scale distributed or cloud-native systems
Familiarity with software supply chain security, artifact signing, or build provenance systems
Experience with runtime security, Kubernetes security, or production infrastructure hardening
Background in platform engineering, SRE, infrastructure engineering, or cloud-native operations
Experience with offensive security, penetration testing, or adversarial infrastructure assessments
Experience supporting operationally critical or mission-critical production environments

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?

In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.

You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution

We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

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.

Field AI

Infrastructure Security Engineer

About the Job

Requirements

Responsibilities

Desired Qualifications

What You’ll Get To Do

What You Have

The Extras That Set You Apart

About the Company

Field AI

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