{"schemaVersion":"jobsearcher.job.v1","id":"99cc9a737be1998a851ebd82","url":"https://jobsearcher.com/jobs/99cc9a737be1998a851ebd82","canonicalUrl":"https://jobsearcher.com/jobs/99cc9a737be1998a851ebd82","title":"Software Engineer, Infrastructure","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.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.\r\nKey responsibilitiesBuild and maintain Python fleet tracking system that manages the full lifecycle of servers including contracting and procurement, target use, pricing, availability, health, RMAs, etc\r\nBuild server management tooling that automates provisioning, health checks, GPU diagnostics, recovery and alerting\r\nCreate and maintain metrics, dashboards, and alerting for hardware health across the fleet (GPU errors, disk failures, network issues, thermals)\r\nLeverage AI to an extreme level to build tools and automate alerting and recovery\r\nImplement and enforce OS-level security: hardening baselines, SELinux/AppArmor policies, SSH key management, vulnerability scanning, and compliance automation\r\nManage and optimize distributed and local storage systems supporting model weights, checkpoints, and ephemeral scratch: NVMe arrays, NFS, parallel file systems, and object storage\r\nTune 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)\r\nDevelop a suite of automated error detection and recovery processes\r\nWork with partners to solve technical issues\r\nRequirements\r\n3+ years experience managing bare-metal and cloud based server fleets at scale (100+ nodes)\r\nStrong software engineering skills in Python; you write production tooling, not scripts\r\nDeep Linux systems knowledge: boot process, kernel tuning, networking, storage, systemd, cgroups, namespaces, performance profiling\r\nStrong experience with configuration management and infrastructure-as-code: Ansible, Terraform, cloud-init\r\nSolid understanding of storage technologies: LVM, RAID, NVMe, NFS, Lustre or GPFS, and Linux I/O stack tuning\r\nFamiliarity with hardware diagnostics and failure modes (GPUs, NVMe, NICs, memory)\r\nExperience building internal tools or dashboards for infrastructure visibility\r\nExcellent communication and ability to drive technical decisions across teams\r\nSelf-starter who executes quickly, takes ownership, and constantly seeks improvement\r\nNice to have\r\nFamiliarity with network configuration and diagnostics (VLAN, VXLAN, ECMP, BGP, tcpdump)\r\nExperience with NVIDIA GPU infrastructure: driver management, health monitoring, DCGM, NVLink/NVSwitch diagnostics, RDMA, InfiniBand/RoCEv2\r\nExperience with AMD GPUs\r\nExperience with bare metal and VM provisioning (PXE/iPXE, Kickstart, libvirt, Qemu/KVM)\r\nExperience with compliance frameworks relevant to cloud providers (SOC 2, ISO 27001)\r\nCompensation\r\n$180,000-250,000 plus equity + benefits\r\nLocation\r\nSan Francisco, CA\r\nWhat we offer at fal\r\nInteresting and challenging work\r\nA lot of learning and growth opportunities\r\nWe are offering relocation assistance to San Francisco.\r\nWe offer relocation assistance to San Francisco.\r\nHealth, dental, and vision insurance (US)\r\nRegular team events and offsites","company":"Features Labels","rawCompany":"features labels","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:19:22.572Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Infrastructure","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.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.\r\nKey responsibilitiesBuild and maintain Python fleet tracking system that manages the full lifecycle of servers including contracting and procurement, target use, pricing, availability, health, RMAs, etc\r\nBuild server management tooling that automates provisioning, health checks, GPU diagnostics, recovery and alerting\r\nCreate and maintain metrics, dashboards, and alerting for hardware health across the fleet (GPU errors, disk failures, network issues, thermals)\r\nLeverage AI to an extreme level to build tools and automate alerting and recovery\r\nImplement and enforce OS-level security: hardening baselines, SELinux/AppArmor policies, SSH key management, vulnerability scanning, and compliance automation\r\nManage and optimize distributed and local storage systems supporting model weights, checkpoints, and ephemeral scratch: NVMe arrays, NFS, parallel file systems, and object storage\r\nTune 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)\r\nDevelop a suite of automated error detection and recovery processes\r\nWork with partners to solve technical issues\r\nRequirements\r\n3+ years experience managing bare-metal and cloud based server fleets at scale (100+ nodes)\r\nStrong software engineering skills in Python; you write production tooling, not scripts\r\nDeep Linux systems knowledge: boot process, kernel tuning, networking, storage, systemd, cgroups, namespaces, performance profiling\r\nStrong experience with configuration management and infrastructure-as-code: Ansible, Terraform, cloud-init\r\nSolid understanding of storage technologies: LVM, RAID, NVMe, NFS, Lustre or GPFS, and Linux I/O stack tuning\r\nFamiliarity with hardware diagnostics and failure modes (GPUs, NVMe, NICs, memory)\r\nExperience building internal tools or dashboards for infrastructure visibility\r\nExcellent communication and ability to drive technical decisions across teams\r\nSelf-starter who executes quickly, takes ownership, and constantly seeks improvement\r\nNice to have\r\nFamiliarity with network configuration and diagnostics (VLAN, VXLAN, ECMP, BGP, tcpdump)\r\nExperience with NVIDIA GPU infrastructure: driver management, health monitoring, DCGM, NVLink/NVSwitch diagnostics, RDMA, InfiniBand/RoCEv2\r\nExperience with AMD GPUs\r\nExperience with bare metal and VM provisioning (PXE/iPXE, Kickstart, libvirt, Qemu/KVM)\r\nExperience with compliance frameworks relevant to cloud providers (SOC 2, ISO 27001)\r\nCompensation\r\n$180,000-250,000 plus equity + benefits\r\nLocation\r\nSan Francisco, CA\r\nWhat we offer at fal\r\nInteresting and challenging work\r\nA lot of learning and growth opportunities\r\nWe are offering relocation assistance to San Francisco.\r\nWe offer relocation assistance to San Francisco.\r\nHealth, dental, and vision insurance (US)\r\nRegular team events and offsites","datePosted":"2026-08-09T01:19:22.572Z","dateModified":"2026-08-09T01:19:22.572Z","hiringOrganization":{"@type":"Organization","name":"Features Labels","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"99cc9a737be1998a851ebd82"},"url":"https://jobsearcher.com/jobs/99cc9a737be1998a851ebd82"}}