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3 дня назад

Member of Technical Staff - Security (AI Infrastructure)

180 000 - 350 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Member of Technical Staff - Security (AI Infrastructure): Own the security posture of open superintelligence infrastructure including hosted RL training platform, distributed GPU clusters, and liquid compute marketplace with an accent on preventive security, AI-native protections, and compliance. Focus on threat modeling multi-tenant systems, designing zero-trust architecture, securing RL training loops, building detection/response capabilities, and managing external pentests.

Location: Flexible: remote or San Francisco office

Salary: $180-350k+

Company

Building open superintelligence stack aggregating global compute for anyone to create, train, and deploy frontier agentic models with full RL post-training infrastructure.

What you will do

  • Own threat modeling and secure architecture across multi-tenant training infrastructure, sandboxed environments, APIs, and tooling
  • Design zero-trust networking, identity/access control, and tenant isolation for distributed GPU clusters
  • Develop AI-specific security for model weights, training data, RL loops, and attack vectors like prompt injection
  • Manage penetration tests, internal red-teaming, and vulnerability remediation
  • Build monitoring, alerting, runtime security, incident response playbooks, and audit logging
  • Drive SOC 2 compliance and customer trust through documentation and GTM support

Requirements

  • 5+ years in security engineering, infrastructure security, or offensive security at multi-tenant cloud/compute companies
  • Deep experience with cloud security (GCP preferred), Kubernetes security, container runtime hardening
  • Hands-on Python and Rust (or systems language) for reading/writing/auditing code
  • Network security in distributed systems: service mesh, mTLS, segmentation
  • Track record managing pentests and implementing findings
  • Fundamentals in cryptography, IAM, secure SDLC

Nice to have

  • Securing GPU infra or ML training pipelines
  • Offensive security: CTFs, bug bounties, red team
  • AI threat models: model extraction, data poisoning, sandbox escape
  • Building security programs at high-growth startups
  • SOC 2, ISO 27001, FedRAMP experience
  • Open-source security tooling, eBPF/Falco

Culture & Benefits

  • Flexible work: remote or San Francisco office
  • Full visa sponsorship and relocation support
  • Professional development budget for courses/conferences
  • Regular team off-sites and conference attendance
  • Significant equity incentives
  • Shape security org from ground up at frontier AI infra company

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