Startups · AI

Staff Security Engineer

Fal · San Francisco · On-site

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About Fal

Easiest & most cost-effective way to use Gen AI. fal.ai is how devs integrate dozens of generative media models. FLUX, Kling, Hailuo +1000 more.

About the 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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role

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.

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.

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

Read the full posting on Fal's site ↗

Engineering

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