Staff Security Engineer

The role

You will set the technical direction for security across the fal.ai platform. You will design security architecture, build controls, and secure GPU compute fleets, multi-cloud, and Kubernetes environments.

What you will do

• Design isolation for multi-tenant GPU workloads, customer code, and model execution
• Protect model weights, customer data, and inference endpoints
• Harden cloud, Kubernetes, CI/CD, and the software supply chain
• Threat model inference, agentic workflows, and internal AI tools
• Build guardrails for agents and AI tools
• Use LLMs and agents to automate security reviews, vulnerability triage, and remediation
• Own the security architecture and the roadmap for highest-risk areas
• Run design reviews and publish secure patterns
• Run vulnerability management from discovery through prioritization and fix
• Mentor engineers and raise the security bar

Required qualifications

• AI fluency: use LLMs, agents, and AI coding tools daily to build, review, and automate security work
• 8+ years of engineering experience, including 5+ in hands-on security engineering
• Deep knowledge of cloud security (AWS/GCP), Kubernetes, Linux, and identity and access systems
• Strong in Python or Rust; write and ship production code
• A record of security improvements that engineering teams adopted, led without formal authority
• Explains security risk in business terms to engineers and executives alike

Nice to have

• Experience with GPU infrastructure, ML platforms, or multi-tenant compute
• Securing LLM-based systems or agent frameworks, or AI red teaming
• Sandboxing and isolation technologies such as gVisor, Firecracker, or Kata
• Experience supporting SOC 2 or ISO 27001 audits

Benefits

• Visa sponsorship
• Relocation help to San Francisco
• Health, dental, and vision insurance (US)
• Regular team events and offsites

Before you apply

• We offer visa sponsorship and will help you relocate to San Francisco

About the company

fal is the generative media ecosystem powering the next generation of AI products. They build infrastructure, tools, and model access for developers and enterprises.