Startups · AI

Senior/Staff Software Engineer, Kubernetes Infrastructure

Fal.ai · Remote - USA · Remote

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About Fal.ai

Easiest & most cost-effective way to use Gen AI. fal.ai is how devs integrate dozens of generative media models. FLUX, Kling, Hailuo +1000 more. Backed by Bessemer, Kleiner Perkins and Sequoia.

About the role

You will build the high-performance compute environments we deliver to customers. These environments span bare-metal servers, virtual machines with GPU passthrough, Kubernetes and Slurm clusters, distributed storage, and high-speed networking. You will work across the infrastructure stack — from Linux images and hardware provisioning to cluster networking, GPU performance, observability, and lifecycle automation. The goal is to make every customer environment performant, reliable, isolated, and repeatable.

What they're looking for

  • 5+ years of experience building and operating production Linux infrastructure
  • Strong production experience with Kubernetes on bare metal (bootstrapping, upgrades, HA control planes, etcd, containerd, CNI, CSI, ingress, load-balancing, observability, security, troubleshooting)
  • Experience with Linux virtualization: KVM/QEMU, libvirt, VFIO device passthrough
  • Experience operating NVIDIA GPUs on Linux and Kubernetes (drivers, container runtimes, device plugins, GPU Operator, GPU telemetry)
  • Strong networking fundamentals: TCP/IP, L2/L3, VLANs, routing, packet-level troubleshooting (tcpdump, Wireshark)
  • Practical scripting experience
More about this role

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 will build the high-performance compute environments we deliver to customers. These environments span bare-metal servers, virtual machines with GPU passthrough, Kubernetes and Slurm clusters, distributed storage, and high-speed networking.

You will work across the infrastructure stack — from Linux images and hardware provisioning to cluster networking, GPU performance, observability, and lifecycle automation. The goal is to make every customer environment performant, reliable, isolated, and repeatable.

Design, automate,...

Read the full posting on Fal.ai's site ↗

Engineering

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