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Security Level 5

Develops frontier AI security standards

Member of Technical Staff - Multiple Teams

Security Engineering & Architecture +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$200k - $350k /yr

About the Job

Requirements

  • Have 5+ years in infrastructure security engineering, security research, threat intelligence, or red-teaming, or have 2+ years building and stress-testing training infrastructure at a frontier AI lab. Candidates without these credentials may explain why they would succeed in the role.
  • Have shipped or compromised production systems and understand the difference between a clean design and one that has merely passed review.
  • Think like a state-level adversary, expressed through writing, architecture, or code.
  • Communicate clearly with technical and non-technical stakeholders.
  • Want security work to matter outside the company shipping it.

Responsibilities

  • Design and operationalize network architecture, machine, physical, personnel, or supply chain security needed to implement an SL5 datacenter.
  • Threat model AI training infrastructure against nation-state adversaries.
  • Red-team critical AI infrastructure.
  • Design and run experiments to assess the productivity impacts of SL5 on frontier AI workloads.
  • Build custom security tooling for SL5 requirements.
  • Co-develop standards with labs and government stakeholders.
  • Publish research for technical and policy audiences.

Desired Qualifications

  • Have familiarity with the state of the art in performance-optimized frontier AI training and inference infrastructure, as a maintainer or researcher who has used it.
  • Have experience with offensive or defensive nation-state operations.
  • Have experience building datacenters at 100 MW or greater scale.

About the Company

Security Level 5

Develops frontier AI security standards

SL5 Task Force develops practical security standards to protect frontier AI from nation-state threats. It delivers the SL5 Standard, an overlay of existing frameworks (such as NIST SP 800-53 and ICD 705) that translates into concrete technical controls and guidance, organized through two tracks (Executive and Technical) and specialized working groups. Unlike others, it combines policymakers, AI labs, national security leaders, and industry partners in a multistakeholder effort and emphasizes actionable steps and cost-benefit analysis to enable rapid adoption, including prototyping like the Project MoAT datacenter and AI705 studies. Its goal is nation-state grade protection for frontier AI and to build a functional prototype datacenter with leading AI labs by 2026.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
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Founded
Not listed

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