Senior Infra Security Engineer - GPU Kernel Hardening

fal; San Francisco (CA); In loco; USD 180.000 - 250.000; Tempo pieno

Vantaggi offerti da questo lavoro

Visa sponsorship and relocation to San

Health, dental, and vision insurance (

Team events and offsites

Descrizione del lavoro

fal is 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.

Competenze

• 5+ years in systems or security engineering.
• Deep hands-on work in the Linux kernel, hypervisors, or device drivers.
• Fluent in kernel C; comfortable in Rust, Go, or Python.
• Strong grasp of virtualization internals: KVM, VFIO, IOMMU.
• Shipped hardening that runs in production at fleet scale.
• Published CVEs, talks, or write-ups on kernel or hypervisor security.

Mansioni

• Secure multi-tenant isolation across shared GPU hosts and containers.
• Harden kernel builds and host images; reduce GPU driver attack surface.
• Assess and triage security vulnerabilities in kernel, hypervisors, and drivers.
• Shape the security roadmap; collaborate with Detection & Response and other teams.

Conoscenze

AI fluency

Linux kernel

Hypervisors

Device drivers

Rust/Go/Python

GPU virtualization

Vulnerability research

Threat modeling

Kernel hardening

GPU stack experience

Communicating risk

Descrizione del lavoro

fal is 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.