FieldAI
Senior IT & Security Operations Engineer
Irvine, CA · Senior · Full-time
Sponsorship not specifiedDetected 55 days ago
GitAWSLinuxNLPSOC OperationsDetection EngineeringComplianceJiraCadenceRoboticsFirewallVPNResearch
About the role
- Irvine, CA Operations - IT / Full Time / On-Site Who are We?
- Field AI is transforming how robots interact with the real world.
- Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
Responsibilities
- About the Job Field AI is looking for a senior hands-on IT infrastructure engineer to own the systems that keep a robotics engineering organization secure and productive: macOS/Linux endpoints, identity, SaaS access, office/lab networking, and endpoint security.
- This role is ideal for someone who has operated in fast-moving startup environments, enjoys building durable systems from imperfect starting points, and can move between strategic design and hands-on troubleshooting.
- Own the full lifecycle of our macOS and Linux endpoint fleet through JumpCloud MDM, enrollment, configuration, application deployment, patch management, and compliance enforcement.
- Define and maintain the golden configurations every new device is built from.
- Design and configure network infrastructure, perform maintenance and upgrades, and provide deep-dive troubleshooting from layer 1 through layer 7.
- Endpoint Fleet Management: Own the full lifecycle of our macOS and Linux endpoint fleet through JumpCloud MDM, enrollment, configuration, application deployment, patch management, and compliance enforcement.
- Senior Technical Escalation: Serve as the senior technical resource on the IT team - resolve complex incidents, document resolutions as runbooks, and automate the underlying root cause wherever possible.
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
Requirements
- Hands-on experience with professional-grade networking equipment such as Sophos, Ubiquiti, or Fortinet - switches, firewalls, Wi-Fi, and VPN - including packet-level troubleshooting.
- Working experience with CrowdStrike Falcon or a comparable EDR/XDR platform - sensor deployment, policy configuration, detection tuning, and incident triage.
- Networking Depth: Hands-on experience with professional-grade networking equipment such as Sophos, Ubiquiti, or Fortinet - switches, firewalls, Wi-Fi, and VPN - including packet-level troubleshooting.
- Endpoint Security: Working experience with CrowdStrike Falcon or a comparable EDR/XDR platform - sensor deployment, policy configuration, detection tuning, and incident triage.
Nice to have
- Production experience administering and scaling a modern MDM platform, ideally JumpCloud - policy authoring, configuration profiles, and rollout strategies across a heterogeneous fleet.
Skills
- Why Join Field AI?
Compensation
- Compensation and Benefits Our salary range is generous and 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-relate
Benefits
- 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.
Company info
- 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.
- The Extras That Set You Apart
- We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments.
- 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!
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This listing is sourced directly from FieldAI's careers page and normalized into a canonical job model.