DevSecOps Engineer

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

About the Job

As a Senior DevSecOps Engineer, you will operate at the intersection of AI infrastructure, edge computing, and defensive security. You won't just respond to alerts; you will engineer the hardened systems that make those alerts actionable, automated, and resilient. You will treat security as a first-class reliability feature, ensuring that our robotic fleet and AI training environments scale securely without manual intervention.

What You’ll Get To Do

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Security Engineering & Automation: Design and build production-grade software to automate security tasks (e.g., automated certificate rotation, secret management, or self-healing network policies for autonomous systems).

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Reliability for Mission-Critical Services: Own the service level objectives/indicators, and error budgets for core security infrastructure, including identity management, encrypted communication channels, and high-availability inference services.

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Infrastructure as Code (IaC): Architect and manage secure-by-default infrastructure for both cloud and edge deployments to ensure repeatable and audited systems.

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Incident Response & Forensic Analysis: Lead technical incident response for both security breaches and system outages, focusing on root cause analysis and code-based fixes to harden the UNIX/Linux environment.

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Shift-Left Integration: Develop and maintain automated security scanning (SAST/SCA/secret detection) within CI/CD pipelines to empower developers to ship code securely to the field.

What You Have

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High-Performance Programming: 5+ years of experience writing production-quality code in C++ and Python.

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Distributed Systems Mastery: Deep understanding of data structures, algorithms, and the complexities of large-scale distributed systems and real-time data processing.

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Security Domain Expertise: Advanced knowledge of encryption (TLS/PKI), authentication protocols (OAuth/SAML), and container/workload hardening.

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Observability Stack: Hands-on experience building custom telemetry, dashboards, and alerting for fleet-wide health and security monitoring.

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System Internals: Expert-level grasp of UNIX / Linux system hardening, networking protocols (TCP/IP, DNS), and securing high-performance compute hardware.

The Extras That Set You Apart

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Hands-on experience designing or operating secure OTA/update pipelines, including artifact signing, verification, and rollback safety

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Strong background in infrastructure security at scale, including Kubernetes, container runtimes, and workload isolation in high-risk environments

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Experience building or hardening device identity and fleet authentication systems, including certificate lifecycle management and device attestation

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Familiarity with robotics middleware or real-time systems (e.g., ROS/ROS2, DDS, or similar distributed communication frameworks)

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Experience applying zero-trust principles to distributed systems spanning cloud and edge environments

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Experience with adversarial testing or security research, particularly in distributed or infrastructure-level systems

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Strong understanding of software supply chain security, including SBOMs, build provenance, and secure artifact pipelines

Compensation and Benefits

Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.