Opportunities from Field Ai (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. About the Job The Robotics Product Security Engineer will secure Field AI’s autonomous robotic platforms operating in complex real-world environments. You will work closely with robotics, autonomy, and infrastructure teams to design, assess, and improve the security of deployed robotic systems throughout their lifecycle. Your work will directly impact the safety, resilience, and trustworthiness of autonomous systems deployed in the field. You will contribute to secure system design, threat modeling, deployment security, and adversarial assessment of robotic platforms operating under real-world conditions.

Design and improve the security architecture of autonomous robotic systems operating in real-world environments

Conduct threat modeling and security reviews across robotic platforms, deployment mechanisms, and operational workflows

Secure robot identity, authentication, communications, and over-the-air software update mechanisms

Harden embedded Linux systems and robotic compute environments against remote and physical attack vectors

Evaluate and improve the security of robotics middleware, system interfaces, and software components deployed on robots

Partner closely with robotics, autonomy, and infrastructure teams to integrate practical security controls into development and deployment workflows

Perform targeted security assessments, penetration testing, and adversarial analysis of deployed robotic systems

Investigate vulnerabilities affecting robotic platforms and help drive remediation and long-term resilience improvements

Help define security standards and best practices for autonomous systems operating in complex field environments

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Cybersecurity, or a related technical field

8+ years of experience in product security, systems security, embedded security, application security, or related security engineering roles

Strong software engineering and systems engineering fundamentals

Experience securing embedded systems, robotics platforms, autonomous systems, IoT devices, or edge computing environments

Experience with Linux systems, networking, authentication, and secure systems design

Familiarity with embedded Linux hardening, secure communications, device identity, or OTA update mechanisms

Experience with threat modeling, security architecture reviews, penetration testing, or adversarial security assessments

Ability to identify practical security risks and implement effective mitigations in complex distributed systems

Strong collaboration and communication skills with the ability to work cross-functionally across robotics, autonomy, and infrastructure teams

Practical engineering judgment and the ability to balance security, operational constraints, reliability, and development velocity

Experience with robotics middleware such as ROS or DDS

Experience securing deployed robotic or autonomous systems operating in real-world environments

Familiarity with hardware/software trust boundaries and device platform security

Experience with vulnerability research, offensive security, or adversarial testing

Background in robotics, drones, industrial automation, automotive, aerospace, or other cyber-physical systems

Experience working on safety-critical, mission-critical, or highly distributed systems