Generative AI Infra Engineer (GPU Fleet)

The Consensus; San Francisco (CA); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Relocation assistance

Health, dental, and vision insurance (

Team events & offsites

Learning & growth opportunities

Job summary

fal is the generative media ecosystem powering the next generation of AI products. We build infrastructure, tools, and model access to move from idea to production at scale.

You are a hands-on engineer who builds software and processes to keep a large fleet of GPU servers healthy and productive, writing systems and tooling for provisioning, health monitoring, error detection, and recovery. We are seeking a senior engineer to own fleet management, security, and performance tuning across 1000s of

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.
• 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.
• 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.
• Develop a suite of automated error detection and recovery processes.
• Work with partners to solve technical issues.

Skills

Python

Linux systems

Infrastructure as code

Ansible

Terraform

GPU infrastructure

Networking basics

Tools

PXE/iPXE

libvirt

Qemu/KVM

Docker

Kubernetes

SELinux/AppArmor

Job description

fal is the generative media ecosystem powering the next generation of AI products. We build infrastructure, tools, and model access to move from idea to production at scale.

You are a hands-on engineer who builds software and processes to keep a large fleet of GPU servers healthy and productive, writing systems and tooling for provisioning, health monitoring, error detection, and recovery. We are seeking a senior engineer to own fleet management, security, and performance tuning across 1000s of