AI Summary
We are seeking a hands-on engineer to build and maintain software and processes for managing a large fleet of GPU servers. The ideal candidate will have strong software engineering skills in Python and deep Linux systems knowledge. The role requires experience managing bare-metal and cloud-based server fleets at scale.
Key Highlights
Build and maintain Python fleet tracking system
Create and maintain metrics, dashboards, and alerting for hardware health
Implement and enforce OS-level security
Key Responsibilities
Build and maintain Python fleet tracking system
Create and maintain metrics, dashboards, and alerting for hardware health
Implement and enforce OS-level security
Manage and optimize distributed and local storage systems
Tune Linux systems for AI workloads
Technical Skills Required
Benefits & Perks
$180,000-250,000 plus equity + benefits
Health, dental, and vision insurance (US)
Relocation assistance to San Francisco
Nice to Have
Familiarity with network configuration and diagnostics
Experience with NVIDIA GPU infrastructure
Experience with AMD GPUs
Job Description
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
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- 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
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- 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)
- $180,000-250,000 plus equity + benefits
Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.
- San Francisco, CA (we are open to remote in the US for Senior and Staff levels)
- 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
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