F

Staff Security Engineer

fal • United States
Visa Sponsorship Relocation
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Set the technical direction for security across fal.ai, spanning GPU compute, multi-cloud, Kubernetes, inference APIs, and AI systems. Design security architecture, build controls, and make secure-by-default the easiest path for every engineer. Requires 8+ years engineering experience with 5+ in security, deep cloud/Kubernetes/Linux knowledge, and daily AI fluency.

Key Highlights
Staff Security Engineer setting security direction across fal.ai
Covers GPU compute, multi-cloud, Kubernetes, inference APIs, and AI systems
Requires 8+ years engineering with 5+ in security
Visa sponsorship and relocation assistance to San Francisco
Compensation $180K-$250K plus equity
Key Responsibilities
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
Threat model inference, agentic workflows, and internal AI tools
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
Own the security architecture and 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 across the company
Technical Skills Required
Python Kubernetes AWS
Benefits & Perks
Health, dental, and vision insurance (US)
Visa sponsorship
Relocation assistance
Regular team events and offsites
Equity
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

Job Description

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.

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