Senior Infrastructure Security Engineer

present of AI; San Francisco (CA); In loco; USD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

present of AI is seeking a Senior Engineer to secure the layer beneath the application, including Linux kernels, hypervisors, and GPU drivers on shared GPU hosts. A strong candidate has kernel C skills and hands-on security experience across virtualization internals like KVM, VFIO, and IOMMU.

The role emphasizes AI fluency as part of daily tasks, leveraging AI tools for code review, vulnerability research, and tooling to improve security at scale.

Competenze

• Years of hands-on systems or security work.
• Strong kernel C skills with an understanding of virtualization internals (KVM, VFIO, IOMMU).
• Experience shipping hardening at fleet scale and evaluating exploit paths at low level.

Mansioni

• Secures the layer beneath the application: Linux kernels, hypervisors and sandboxes, GPU drivers and firmware, and hosts running shared GPU workloads.
• Applies vulnerability triage and risk assessment to low-level security issues at scale.
• Uses AI-enabled tooling daily for code review, tooling, and vulnerability research on kernel and GPU components.

Conoscenze

Kernel C

Linux kernel

KVM VFIO IOMMU

Hypervisors

Rust

Go

Python

Vulnerability triage

Exploit paths

Strumenti

KVM

VFIO

IOMMU

GPU drivers

Descrizione del lavoro

Engineering · San Francisco · FullTime · Senior level

This role secures the layer beneath the application: Linux kernels, hypervisors and sandboxes, GPU drivers and firmware, and the hosts running shared GPU workloads. A strong candidate brings years of hands on systems or security work, kernel C skills, and a clear grasp of virtualization internals like KVM, VFIO and IOMMU. They should have shipped hardening at fleet scale and be able to judge how exploitable a low level flaw really is.

How it fits the AI era

Generative media models run on shared GPU hosts, so the isolation and hardening work here directly protects multi tenant inference. AI tools speed up code review, tooling and vulnerability research, but the judgment about exploit paths, severity and safe patching stays with the engineer. The role also leans on AI fluency as a stated part of the job, not an extra.

How it builds AI experience

Working here means using LLMs, agents and AI coding tools daily for code review, tooling and vulnerability research on kernel and GPU components. That builds practical skill in applying AI to low level security work at scale. Candidates can prepare by getting comfortable with AI assisted analysis of systems code and by studying GPU and confidential computing security.

Worth showing

• Linux kernel and hypervisors
• KVM VFIO IOMMU internals
• Kernel C and Rust Go Python
• Vulnerability triage and exploit paths

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.