Security Engineer, Threat Intelligence
Fluidstack
| Company | Fluidstack |
| Category | Engineering |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 220k–300k |
| Posted | 20 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
ABOUT FLUIDSTACK
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
HOW WE OPERATE
- Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
- Velocity. We drive everything forward as fast as possible.
- First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
- Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
THE SECURITY TEAM
Examples of key problems the team is working on
- You're securing the frontier of AI. The model weights training on our infrastructure are the most valuable and most targeted artifacts in technology, and we're standing up the compute to hold them faster than anyone ever has. A breach isn't a leak, it's the frontier walking out the door.
- Build the entire security program from scratch. Most leaders inherit someone else's system and spend a career patching it. Here you own it end to end, bare metal to boardroom, as we scale across continents.
- Your threat surface is measured in gigawatts. The customers running on our infrastructure are building the most consequential technology in human history, and being responsible for the physical and logical security of that work makes everything else feel small.
ROLE SCOPE
- Track the nation-state and advanced criminal actors most likely to target frontier AI infrastructure, and turn their tooling, infrastructure patterns, and tradecraft into intelligence that changes what the program detects and hunts for.
- Build and run the pipelines that collect, enrich, and correlate indicators, then push them into the detection and agentic triage stack so intelligence becomes operational instantly.
- Drive intelligence-led hunts across enterprise, cloud, identity, data center IT, and OT telemetry, and convert findings into high-fidelity detections authored as code.
- Perform hands-on malware, phishing-infrastructure, and attacker-tooling analysis to extract indicators, TTPs, and attribution signals that feed detection engineering and incident response in near real time.
- Curate the inbound intelligence pipeline across commercial feeds, open source, government, and peer relationships, and prioritize what actually matters for the program's threat model.
- Build and maintain the external intelligence-sharing relationships (ISACs, peer AI and cloud security teams, government partners) that keep the program ahead of active campaigns.
WHAT WE'RE LOOKING FOR
The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c.
- You've tracked specific nation-state or advanced criminal actors as a core part of your job, and you know their tooling, infrastructure, and targeting well enough to anticipate their next move.
- You write production-quality Python (or similar) and have built the auto
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