Senior Infrastructure Security Engineer

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 Senior Infrastructure Security Engineer to secure the foundation of fal.ai ’s compute platform. You’ll own security below the application layer: the Linux kernel, the hypervisors and sandboxes that isolate workloads, GPU drivers and firmware, and the hosts that run them. You’ll harden the stack, strengthen isolation against untrusted code, and help make GPU compute safe at scale. Proficiency in building with and using AI is central to this role.

What you’ll do

Secure Multi-Tenant Isolation

Build and maintain the threat model for running code on shared GPU hosts, from containers and microVM down to PCIe, IOMMU, and GPU passthrough

Design and verify GPU memory and device-state scrubbing between tenants

Help roll out hardware-backed isolation where it fits, including confidential computing and attestation

Harden the Stack

Harden kernel builds and host images: config minimization, LSMs, seccomp, namespace and cgroup policy, secure and measured boot

Reduce attack surface in GPU drivers, CUDA runtimes, NVLink/NVSwitch fabrics, BMC, and firmware

Assess and Research Vulnerabilities

Assess and triage security vulnerabilities in the kernel, hypervisors, GPU drivers, and firmware: judge exploitability and real impact on environment, set severity, and drive fixes or mitigations

Track vendor bulletins and upstream disclosures, and run kernel and driver patching that keeps pace without disrupting the fleet

Conduct vulnerability research on the components we depend on

Shape the Program

Contribute to the host and isolation security roadmap and evaluate tooling

Partner with Detection & Response on telemetry, and act as the escalation point for host, kernel, and driver incidents

Review designs from Infra, Platform, and ML teams, and help make the secure path the default

Work with GPU vendors, cloud providers, and upstream maintainers on disclosure and fixes

Qualifications/Nice-to-haves

AI fluency: you use LLMs, agents, and AI coding tools daily to review code, build tooling, and accelerate vulnerability research

5+ years in systems or security engineering, with deep hands-on work in the Linux kernel, hypervisors, or device drivers

Fluent in kernel C, and comfortable in Rust, Go, or Python for tooling

Strong grasp of virtualization internals: KVM, VFIO, IOMMU/DMA protection, and the tradeoffs between containers, sandboxes, and microVMs

Has shipped hardening that runs in production at fleet scale

Has found, triaged, or fixed real vulnerabilities in low-level code and can explain the exploit path

Communicates risk clearly to different audiences, from kernel engineers to executives

NVIDIA GPU stack experience: open kernel modules, GSP firmware, MIG, vGPU, or GPU confidential computing

Confidential computing more broadly: AMD SEV-SNP, Intel TDX, attestation

Published CVEs, talks, or write-ups on kernel or hypervisor security

Prior work at a GPU cloud, hyperscaler, or chip vendor

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.