Staff Security Engineer
Core
Design isolation and security controls for multi-tenant GPU workloads, model execution, and AI agent frameworks.
Role type
Staff Security Engineer (AI/ML Infrastructure)
Builds
Secure GPU compute environments, AI agent guardrails, and hardened cloud/Kubernetes supply chains.
Domain
Cloud Security, AI/ML Infrastructure, GPU Compute
Deliverable
production ML models
Required skills
Cloud security (AWS/GCP), Kubernetes, Linux, Identity and Access Management, Python, Rust, Threat modeling, AI red teaming, Sandboxing/Isolation (gVisor/Firecracker/Kata), SOC 2/ISO 27001 audits, LLM automation
Preferred skills
Experience with multi-tenant compute, AI agent frameworks, Security architecture roadmaps
Technologies
AWS, GCP, Kubernetes, Python, Rust, gVisor, Firecracker, Kata, LLMs
Responsibilities
Design isolation for multi-tenant GPU workloads and model execution; Harden cloud, Kubernetes, CI/CD, and software supply chain; Threat-model inference and agentic workflows; Build guardrails for agents and AI tools; Use LLMs to automate security reviews and remediation; Own security architecture and roadmaps for high-risk areas; Mentor engineers and publish secure patterns.
Seniority
Staff, hands-on IC with strategic ownership
