About the role

Aplyr's Quick Take

This role is for a hands-on Software Engineer focused on managing and optimizing a large fleet of GPU servers. You'll be building tools for server provisioning, health monitoring, and recovery, while also ensuring system security and performance tuning. It's primarily an individual contributor role with a strong emphasis on Python programming and Linux systems expertise.

Good fit

Ideal candidates have 3+ years of experience managing server fleets, strong Python skills, and deep knowledge of Linux systems. A proactive problem-solving style and the ability to collaborate across teams will help you thrive here.

Worth noting

The position emphasizes leveraging AI for automation, which could be a unique opportunity for those interested in cutting-edge technology. The focus on both bare-metal and cloud environments suggests a need for versatility in handling different infrastructures.

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.

Key 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 ephemeral 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

Requirements

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

Nice to have

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)

Compensation

$180,000-250,000 plus equity + benefits

Location

San Francisco, CA (we are open to remote in the US for Senior and Staff levels)

What we offer at fal

Interesting and challenging work
A lot of learning and growth opportunities
We are offering relocation assistance to San Francisco.
We offer relocation assistance to San Francisco.
Health, dental, and vision insurance (US)
Regular team events and offsites

Skills & Tags

node python ai product

Aplyr's read

Fal.ai is an AI-driven platform revolutionizing productivity and collaboration through intelligent automation, attracting tech-savvy professionals focused on cutting-edge innovation.
Synthesized from recent postings & public sources

What's promising

•Fal.ai leverages AI to significantly enhance workplace productivity and collaboration.
•The company is expanding rapidly, with diverse roles in engineering and sales.
•Fal.ai's focus on intelligent automation attracts top talent in AI and tech.

What to watch

•Limited public information about Fal.ai's financial stability and long-term viability.
•The competitive AI landscape poses significant challenges for sustained differentiation.
•Rapid expansion may strain company resources and impact employee work-life balance.

Why fal.ai

•Fal.ai specializes in intelligent automation for productivity and collaboration.
•The company offers a wide range of engineering roles, indicating a strong tech focus.
•Fal.ai's emphasis on AI-driven solutions sets it apart in the productivity sector.

Aplyr’s read is generated by AI from public sources. Was it useful?