12 часов назад
Staff Product Security Engineer (AI/ML)
250 000 - 285 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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