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12 часов назад

Staff Product Security Engineer (AI/ML)

250 000 - 285 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Product Security Engineer (AI/ML): Strengthening security across applications, infrastructure, and distributed AI systems with an accent on advanced penetration testing, AI/ML attack surface research, and secure-by-design guardrails. Focus on securing LLM pipelines, vector databases, RAG architectures, agentic workflows, Kubernetes environments, and production security tooling.

Location: San Francisco, CA, US; on-site

Salary: $250,000–$285,000 plus bonus and restricted stock units

Company

hirify.global is a vertically integrated AI infrastructure company operating energy, manufacturing, data center, and cloud services capabilities to support AI workloads.

What you will do

  • Perform advanced manual penetration testing across applications, infrastructure, Kubernetes environments, and distributed microservices.
  • Lead red team operations, adversary simulations, offensive security initiatives, and security research.
  • Secure LLM pipelines, vector databases, RAG architectures, agentic workflows, and other AI/ML systems.
  • Research novel attack surfaces in LLMs and autonomous systems and contribute to AI security research.
  • Embed security into the SDLC, CI/CD pipelines, container images, and deployment workflows.
  • Build security guardrails, production tooling, policy-as-code frameworks, and reusable secure libraries while leading cross-functional programs.

Requirements

  • 8–10 years of hands-on offensive security experience, including manual penetration testing, red team operations, and adversary simulation.
  • Experience with C2 frameworks such as Cobalt Strike, Sliver, or Havoc, plus exploit development and security research.
  • Strong expertise in AI/ML systems, MLOps, inference architectures, vector databases, RAG, and agentic frameworks.
  • Experience building and securing LLM pipelines and AI workflows in Kubernetes or bare-metal environments.
  • Production software engineering experience with Go, Python, or Rust, plus hands-on experience securing Kubernetes, containers, VMs, and CI/CD environments.
  • Ability to lead complex security initiatives and influence engineering teams and executive stakeholders.

Nice to have

  • Public contributions to offensive security or AI security research, including talks, blogs, tooling, or CVEs.
  • Experience building internal red team or adversary simulation programs.
  • Background in high-performance computing, AI infrastructure, or cloud-native platform security.
  • Experience designing policy-as-code frameworks at scale.

Culture & Benefits

  • Restricted stock units and performance bonus opportunities.
  • Paid time off, paid holidays, parental leave, and volunteer time off.
  • Health, dental, vision, life, disability, and mental health coverage.
  • Employer HSA contributions and a 401(k) plan with company matching up to 4% of salary.
  • Professional development, tuition reimbursement, commuter benefits, and a cell phone stipend.

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