Staff Security Engineer

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

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.

What you’ll do

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

Run vulnerability management from discovery through prioritization and fix

Mentor engineers and raise the security bar across the company

Qualifications/Nice-to-haves

AI fluency: you 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; you 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

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

What we offer at fal

Interesting and challenging work

A lot of learning and growth opportunities

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

Health, dental, and vision insurance (US)

Regular team events and offsites

Compensation

$180,000 - $250,000 + equity + comprehensive benefits package

U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:

fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.