Staff Security Engineer
Core
Design security architecture and build controls for a multi-tenant GPU compute fleet, multi-cloud, Kubernetes, and AI inference systems.
Role type
Staff Security Engineer (AI Infrastructure)
Builds
Secure GPU compute fleet, multi-cloud/Kubernetes environments, inference APIs, and AI agent systems
Domain
Generative AI, GPU Infrastructure, Cloud Security
Deliverable
production ML models
Required skills
Cloud security (AWS/GCP), Kubernetes, Linux, Identity and access management, Python, Rust, Threat modeling, Vulnerability management, Security architecture design, AI/LLM security, Sandboxing technologies
Preferred skills
GPU infrastructure experience, ML platform security, AI red teaming, SOC 2/ISO 27001 audit support
Technologies
Kubernetes, AWS, GCP, Python, Rust, LLMs, gVisor, Firecracker, Kata
Responsibilities
Design isolation for multi-tenant GPU workloads and model execution; Protect model weights and inference endpoints with encryption and access controls; Harden cloud, CI/CD, and software supply chain; Threat model inference and agentic workflows; Build guardrails for AI agents; Automate security reviews using LLMs; Own security architecture and roadmap; Mentor engineers on security practices
Seniority
Staff, hands-on IC with strategic direction
