Security Architect, AI Infrastructure

FluidStack

. Own the attack surface for frontier compute, including model weights custody, training environment isolation, accelerator and interconnect security, and multi-tenant boundaries .

Posted 10/21/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $275,000 - $344,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in securing AI, ML, and HPC infrastructure, with a focus on architecting isolation across multiple layers and translating research into actionable architecture. Proven ability to design defensible environments and run security design reviews for complex systems.

Highest-signal resume keywords

AI Infrastructure SecurityML Security ArchitectureConfidential ComputingEmerging Technology TrackingSecurity Design Reviews

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model Weights CustodyTraining Environment IsolationAccelerator SecurityInterconnect SecurityMulti-Tenant SecuritySystems Security PublicationCryptographic Key CustodyIsolation ArchitectureHigh-Speed InterconnectsParallel Storage

Soft Skills

Defending Design DecisionsTechnical Evidence Revision

Tools & Technologies

HypervisorKernelContainerNetwork FabricSchedulerStorage Solutions

Industry Keywords

Frontier ComputeSupercomputing CentersResearch EnvironmentsNation-State AttentionAdversarial Workloads

About the role

Key responsibilities & impact

Own the attack surface for frontier compute, including model weights custody, training environment isolation, accelerator and interconnect security, and multi-tenant boundaries
Design reference architectures and security standards for security engineering
Architect defensible environments where workloads may themselves be adversarial
Run security design reviews for systems touching training and inference environments, from bare metal and fabric through scheduler and storage
Track emerging frontier-compute technologies, including new accelerators, interconnect generations, confidential computing, and agentic workloads
Build and scale Fluidstack’s security program from bare metal to boardroom across continents

Requirements

What you’ll need

Experience securing AI, ML, or HPC infrastructure where assets were genuinely worth stealing, such as lab infrastructure, supercomputing centers, or research environments attracting nation-state attention
Ability to architect isolation across hardware, firmware, hypervisor, kernel, container, network fabric, and physical layers
Understanding of AI compute infrastructure, including accelerators, high-speed interconnects, parallel storage, and schedulers
Original work in systems or ML security, published or shipped
Ability to translate research into buildable architecture
Ability to defend design decisions in review and revise them based on technical evidence
Confidential computing and attestation depth, weights custody or cryptographic key custody at scale, and systems or ML security publication record are bonuses
Authorization to work in the United States is required by the application form

Benefits

Comp & perks

Equity for all full time roles
Benefits package
Meaningful equity / restricted stock units may be included in total compensation
Compensation discussions welcomed
Potential for adjusted terms for outstanding candidates