Software Engineer, Platform

fal - Features & Labels; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Interesting and challenging work

Learning and growth opportunities

Visa sponsorship and relocation to San

Job summary

fal - Features & Labels is seeking a hands-on engineer to manage a large pool of GPU servers. You will build Python-based fleet tooling, automate provisioning and health checks, and create dashboards for hardware health across thousands of servers.

You’ll harden OS security and optimize storage and GPU driver stacks, collaborating with partners to resolve complex infra issues. The role requires strong Python software engineering, deep Linux knowledge, and IaC experience.

Qualifications

• 3+ years experience managing bare-metal and cloud based server fleets at scale (100+ nodes).
• Strong software engineering skills in Python; production tooling mindset.
• Deep Linux systems knowledge: boot process, kernel tuning, networking, storage, systemd.
• IaC experience with Ansible, Terraform, cloud-init.
• Solid understanding of storage technologies and hardware diagnostics.
• 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 seeks improvement.

Responsibilities

• Build and maintain Python fleet tracking system managing server lifecycles, pricing, availability, and RMAs.
• Develop 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 automate alerting and recovery at scale.
• Implement OS security baselines, SELinux/AppArmor, SSH key management, vulnerability scanning.
• Manage distributed storage for model weights, checkpoints, and scratch space.
• Tune Linux systems for AI workloads including kernel parameters and GPU driver stack.
• Develop automated error detection and recovery processes and collaborate with partners.

Skills

Python

Linux systems

Communication

Self-starter

InfrastructureAutomation

Tooling development

Troubleshooting hardware

System performance

Tools

Ansible

Terraform

cloud-init

NVIDIA DCGM

libvirt/QEMU

Job description

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You are a hands-on engineer who builds the software and processes that keep a large fleet of GPU servers healthy and productive. You write systems and tooling for managing 1000s of servers including provisioning, health monitoring, error detection, and recovery — and when something breaks that automation can’t fix, you drive resolution with partners.

What you'll do:

• 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 transient 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

Qualifications/Nice to have:

• 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

• Familiarity with network configuration and diagnostics (VLAN, VXLAN, ECMP, BGP, tcpdump)

• Experience with NVIDIA GPU infrastructure: driver management, health monitoring, DCGM, NVLink/NVSwitch diagnostics, RDMA, InfiniBand/RoCEv2

• Experience with AMD GPUs

• Experience with bare metal and VM provisioning (PXE/iPXE, Kickstart, libvirt, Qemu/KVM)

• Experience with compliance frameworks relevant to cloud providers (SOC 2, ISO 27001)

What we offer at fal

• Interesting and challenging work

• A lot of learning and growth opportunities

• We offer visa sponsorship and will help you relocate to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:

fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.