Staff Security Engineer

present of AI; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

fal.ai is seeking a Senior Security Engineer to define and own the security direction for a multi-tenant AI platform. The role involves hands-on work designing isolation for shared GPU workloads, protecting model weights and customer data, and hardening cloud, Kubernetes, and build pipelines.

Candidates should have years of security engineering experience and be proficient in Python or Rust, delivering changes others adopt.

Qualifications

• Security engineer with several years of experience.
• Writes production code in Python or Rust.
• Led security changes that engineers adopted.

Responsibilities

• Set security direction for a platform running AI models for multiple customers.
• Design isolation for shared GPU workloads and protect model weights and customer data.
• Hardening cloud, Kubernetes, and build pipelines; conduct threat modeling for AI systems.

Skills

Cloud & Kubernetes security

Python or Rust

GPU multi-tenant isolation

LLM threat modeling

Security roadmap ownership

Job description

Engineering San Francisco FullTime Senior level

This role sets the security direction for a platform that runs AI models for many customers at once. It asks for hands on work: designing isolation for shared GPU workloads, protecting model weights and customer data, and hardening cloud, Kubernetes, and build pipelines. A strong candidate has years of security engineering behind them, writes production code in Python or Rust, and has led changes that other engineers actually adopted.

How it fits the AI era

Much of the work is about securing AI systems themselves, from inference endpoints to agent workflows, including risks like prompt injection and data leakage. The role also expects the person to use language models and agents to speed up security reviews and triage. Judgment about risk, architecture decisions, and getting teams to follow secure patterns stays with the engineer.

How it builds AI experience

The job offers direct exposure to securing multi tenant GPU infrastructure and LLM based systems, which is still uncommon ground. A candidate can build this by working with agent frameworks, sandboxing tools, and AI red teaming, and by using AI coding tools in daily security work. Experience with model supply chain risks and guardrails for agents would map closely to what the company builds.

Worth showing

• Cloud and Kubernetes security
• Python or Rust shipping code
• GPU multi tenant isolation
• LLM and agent threat modeling
• Security roadmap ownership

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About fal.ai

fal is a generative media platform for developers that hosts image, video, and audio AI models behind easy-to-use APIs, per the company.