3 days ago
Base Salary
$180k - $250k/yr
Responsibilities
- Design isolation for multi-tenant GPU workloads, customer code, and model execution.
- Protect model weights, customer data, and inference endpoints using identity, encryption, and access controls.
- Harden cloud, Kubernetes, CI/CD, and the software supply chain.
- 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, including scoped permissions, sandboxing, and audit logging.
- Use LLMs and agents to automate security reviews, vulnerability triage, and remediation.
- Own security architecture and roadmaps for the company’s highest-risk areas.
- Run design reviews, publish secure patterns, manage vulnerabilities from discovery through remediation, and mentor engineers.
Requirements
- 8+ years of engineering experience, including 5+ years of hands-on security engineering.
- Deep knowledge of cloud security across AWS or GCP, Kubernetes, Linux, and identity and access systems.
- Strong proficiency in Python or Rust with experience writing and shipping production code.
- A record of security improvements adopted by engineering teams and leadership without formal authority.
- Ability to explain security risk in business terms to engineers and executives.
- Experience with GPU infrastructure, ML platforms, or multi-tenant compute.
- Experience securing LLM-based systems or agent frameworks, or conducting AI red teaming.
- Experience with sandboxing and isolation technologies such as gVisor, Firecracker, or Kata.
- Experience supporting SOC 2 or ISO 27001 audits.
- Daily use of LLMs, agents, and AI coding tools to build, review, and automate security work.
Benefits
- Visa sponsorship is offered, with relocation assistance to San Francisco.
- US health, dental, and vision insurance.
- Regular team events and offsites.
- Learning and growth opportunities.
- Compensation of $180,000-$250,000 plus equity and comprehensive benefits.
Categories
About fal
Fal builds a generative media platform that gives developers a unified API to run state-of-the-art image, video, and audio models. It provides serverless GPUs, high-performance inference, and dedicated compute clusters so teams can customize, deploy, and scale models in production. The company is privately held and headquartered in San Francisco, serving both startups and enterprises through a commercial API and managed infrastructure.