Staff Security Engineer
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Before you apply
Salary$180k – $250k
LocationSan Francisco
Work modeon-site
Typefull-time
SeniorityLead
Experience8+ yrs
DepartmentEngineering
EquityIncluded
Company size201–500 people
PostedNov 6, 2026 · 1d ago
Verified live1h ago
At a glanceSummarised by Seekless from the posting.
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
AI fluency: you use LLMs, agents, and AI coding tools daily to build, review, and automate security work
A record of security improvements that engineering teams adopted, led without formal authority
Explains security risk in business terms to engineers and executives alike
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
Skills
Python
Rust
AWS
GCP
Kubernetes
Linux
LLMs
agents
AI coding tools
gVisor
Firecracker
Kata
Benefits
Health insurance
Dental insurance
Vision insurance
Visa sponsorship
Equity
Relocation assistance
Team events
Offsites
About the company
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. 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
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Design isolation for multi-tenant GPU workloads, customer code, and model execution
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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
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Threat model inference, agentic workflows, and internal AI tools, including prompt injection, data leakage, and model supply chain risks
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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
Set the Technical Direction
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Own the security architecture and the roadmap for our highest-risk areas
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Run design reviews and publish secure patterns that teams can adopt without waiting on security
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Run vulnerability management from discovery through prioritization and fix
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Mentor engineers and raise the security bar across the company
Qualifications/Nice-to-haves
•
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
•
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
What we offer at fal
•
Interesting and challenging work
•
A lot of learning and growth opportunities
•
We offer visa sponsorship and will help you relocate to San Francisco.
•
Health, dental, and vision insurance (US)
•
Regular team events and offsites
Compensation
•
$180,000 - $250,000 + equity + comprehensive benefits package
U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:
fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.