AI Infrastructure Engineer: GPU Fleet & Automation

fal; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Relocation assistance to San Francisco

Health, dental, and vision insurance (

Team events and offsites

Job summary

fal is seeking a hands-on engineer to build and operate the software and processes that keep a large fleet of GPU servers healthy and productive. You will write systems and tooling for provisioning, health monitoring, error detection, and recovery, and drive resolution with partners when automation fails.

You will own Python fleet tooling, implement OS security baselines, optimize storage, and tune Linux for AI workloads.

Qualifications

• 3+ years managing bare-metal and cloud server fleets at scale.
• Strong Python production tooling experience.
• Deep Linux systems knowledge: boot process, kernel tuning, networking, storage, and I/O stack.
• Experience with Ansible, Terraform, cloud-init.
• Storage technologies: LVM, RAID, NVMe, NFS, Lustre/GPFS.
• Familiarity with hardware diagnostics for GPUs/NVMe/NICs/memory.
• Experience building internal tools or dashboards for infra visibility.
• Excellent communication and ability to drive tech decisions across teams.
• Self-starter who executes quickly and takes ownership.

Responsibilities

• Build and maintain Python fleet tracking system that manages full lifecycle of servers.
• Build server management tooling for provisioning, health checks, GPU diagnostics, recovery and alerting.
• Create and maintain metrics, dashboards, and alerting for hardware health across the fleet.
• Leverage AI to build tools and automate alerting and recovery.
• Implement and enforce OS-level security baselines and policies.
• Manage and optimize storage systems supporting model weights and scratch data.
• Tune Linux systems for AI workloads (kernel, NUMA, CPU pinning, I/O schedulers).
• Develop automated error detection and recovery processes.
• Work with partners to solve technical issues.

Skills

Python

Linux

SRE tooling

Terraform

Ansible

Networking

Diagnostics

Communication

Ownership

Tools

NVMe

NFS

GPFS

Job description

fal is seeking a hands-on engineer to build and operate the software and processes that keep a large fleet of GPU servers healthy and productive. You will write systems and tooling for provisioning, health monitoring, error detection, and recovery, and drive resolution with partners when automation fails.

You will own Python fleet tooling, implement OS security baselines, optimize storage, and tune Linux for AI workloads.