Engineering
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 http://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 in