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FluidStack

Builds and runs GPU clusters for AI labs

Security Engineer - Threat Intelligence

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Track specific nation-state or advanced criminal actors as a core part of prior work, with familiarity sufficient to anticipate their tooling, infrastructure, and targeting.
  • Write production-quality Python or a similar language and have built the automation and data pipelines used for intelligence work end to end.
  • Perform hands-on malware, infrastructure, and log analysis to develop and validate findings.
  • Author quality detection logic using YARA, Sigma, or SIEM-native queries that has shipped to production and held up against real adversary activity.
  • Work closely with detection engineers and incident responders, turning intelligence into detections, hunting hypotheses, and incident context during live events.
  • Write actionable intelligence that distills complex campaigns into decisions and next steps for engineers or executives.

Responsibilities

  • Track likely nation-state and advanced criminal threats to frontier AI infrastructure and translate their tooling, infrastructure patterns, and tradecraft into intelligence that informs detection and hunting.
  • Build and operate pipelines to collect, enrich, and correlate indicators, then integrate them into detection and agentic triage systems.
  • Drive intelligence-led hunts across enterprise, cloud, identity, data center IT, and operational technology telemetry, and turn findings into high-fidelity detections authored as code.
  • Conduct hands-on malware, phishing-infrastructure, and attacker-tooling analysis to extract indicators, tactics, techniques, procedures, and attribution signals for detection engineering and incident response.
  • Curate inbound intelligence from commercial feeds, open sources, government, and peer relationships, prioritizing intelligence relevant to the program's threat model.
  • Build and maintain intelligence-sharing relationships with information sharing and analysis centers, peer AI and cloud security teams, and government partners.

Desired Qualifications

  • An active network in the threat intelligence community and a habit of sharing in both directions.
  • Experience defending large-scale GPU or AI compute infrastructure, data centers, or multi-tenant cloud environments.
  • Experience applying large language models or agentic tooling to accelerate collection, enrichment, and analysis.
  • Public research, conference talks, or open-source contributions in the cyber threat intelligence space.

About the Company

FluidStack

Builds and runs GPU clusters for AI labs

Fluidstack provides large clusters of GPU servers to AI labs training advanced models, and it builds custom data centers for customers that outgrow existing facilities. In 2025, Anthropic chose Fluidstack to build data centers in Texas and New York as part of a $50 billion investment in American AI infrastructure. Labs pay for dedicated clusters of Nvidia GPUs, sometimes tens of thousands of chips, housed in partner data centers around the world. They reach the clusters through a web console or API, while Fluidstack runs the hardware, networking, and day-to-day operations. Fluidstack was founded in London in 2017 and has its headquarters in New York.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$12.4B
Headquarters
New York City, New York
Founded
2017

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