AI Infra Engineer: GPU Fleet Automation

Fal.ai Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Relocation assistance

Health, dental, and vision insurance (

Regular team events and offsites

Job summary

fal.ai Inc. seeks a hands-on engineer to keep a large fleet of GPU servers healthy and productive in San Francisco, CA.

You will design and operate software for provisioning, health monitoring, error detection, and automated recovery across thousands of servers, with emphasis on reliability and scalable Linux systems. This role offers $180,000-$250,000 per year plus equity and benefits, and relocation assistance to San Francisco.

Qualifications

• 3+ years experience managing bare-metal and cloud based server fleets at scale (100+ nodes)
• Strong software engineering skills in Python; you write production tooling, not scripts
• Deep Linux systems knowledge: boot process, kernel tuning, networking, storage, systemd, cgroups, namespaces, performance profiling
• Strong experience with configuration management and infrastructure-as-code: Ansible, Terraform, cloud-init
• Solid understanding of storage technologies: LVM, RAID, NVMe, NFS, Lustre or GPFS, and Linux I/O stack tuning
• Familiarity with hardware diagnostics and failure modes (GPUs, NVMe, NICs, memory)
• Experience building internal tools or dashboards for infrastructure visibility
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Responsibilities

• Build and maintain Python fleet tracking system that manages the full lifecycle of servers including contracting and procurement, target use, pricing, availability, health, RMAs, etc
• Build server management tooling that automates provisioning, health checks, GPU diagnostics, recovery and alerting
• Create and maintain metrics, dashboards, and alerting for hardware health across the fleet (GPU errors, disk failures, network issues, thermals)
• Leverage AI to an extreme level to build tools and automate alerting and recovery
• Implement and enforce OS-level security: hardening baselines, SELinux/AppArmor policies, SSH key management, vulnerability scanning, and compliance automation
• Manage and optimize distributed and local storage systems supporting model weights, checkpoints, and temporary scratch: NVMe arrays, NFS, parallel file systems, and object storage
• Tune Linux systems for AI workloads: kernel parameters, NUMA topology, CPU pinning, hugepages, I/O schedulers, and GPU driver stack optimization (NVIDIA drivers, CUDA, container runtimes)
• Develop a suite of automated error detection and recovery processes
• Work with partners to solve technical issues

Skills

Python

Bare-metal fleets

Linux

Ansible

Terraform

cloud-init

Storage technologies

NVMe

GPU diagnostics

Security hardening

CI/CD dashboards

Tools

PXE/iPXE

Kickstart

libvirt

Qemu/KVM

NVIDIA DCGM

Job description

fal.ai Inc. seeks a hands-on engineer to keep a large fleet of GPU servers healthy and productive in San Francisco, CA.

You will design and operate software for provisioning, health monitoring, error detection, and automated recovery across thousands of servers, with emphasis on reliability and scalable Linux systems. This role offers $180,000-$250,000 per year plus equity and benefits, and relocation assistance to San Francisco.