We’re hiring a Staff Security Engineer to set the technical direction for security across fal.ai. You’ll work across our GPU compute fleet, multi-cloud and Kubernetes environments, inference APIs, and the AI systems our teams build and use. You’ll design the security architecture, build the controls yourself, and make secure-by-default the easiest path for every engineer. Proficiency in building with and using AI is central to this role.

Secure the Platform

Design isolation for multi-tenant GPU workloads, customer code, and model execution

Protect model weights, customer data, and inference endpoints with strong identity, encryption, and access controls

Harden cloud, Kubernetes, CI/CD, and the software supply chain

Secure AI Systems

Threat model inference, agentic workflows, and internal AI tools, including prompt injection, data leakage, and model supply chain risks

Build guardrails for agents and AI tools, such as scoped permissions, sandboxing, and audit logging

Use LLMs and agents to automate security reviews, vulnerability triage, and remediation

Set the Technical Direction

Own the security architecture and the roadmap for our highest-risk areas

Run design reviews and publish secure patterns that teams can adopt without waiting on security

Staff Security Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Fal AI

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