---
title: 'Senior/Staff Software Engineer, Kubernetes Infrastructure at fal'
canonical: 'https://feeny.ai/job/senior-staff-software-engineer-kubernetes-infrastructure-fal-united-states-hx4cwfd1p5nz'
type: 'job'
last_seen: '2026-09-10'
---

# Senior/Staff Software Engineer, Kubernetes Infrastructure at fal

- **Company:** fal
- **Location:** United States
- **Compensation:** $180k–$250k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-14
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/fal-ai/d9384b0a-2f86-4e9a-bcc7-5b49f1c0b081

## 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.

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. Key Responsibilities:

- Design, automate, validate, and deliver the complete lifecycle of customer compute environments — from provisioning through upgrades, recovery, and decommissioning
- Use AI aggressively to automate and accelerate every aspect of infrastructure delivery and operations
- Provision dedicated Kubernetes and Slurm clusters tailored to customer workloads
- Build and maintain Linux images and automated OS-provisioning workflows
- Operate the NVIDIA GPU stack: drivers, GPU Operator, NVIDIA Container Toolkit, device plugins, MIG, and GPU monitoring
- Design Kubernetes and data-center networking using Cilium/Calico, MetalLB, VLAN, VXLAN, BGP, and ECMP
- Configure distributed and shared storage for high-performance workloads
- Build monitoring, alerting, diagnostics, and automated recovery for customer environments
- Develop reusable tooling, standards, documentation, and runbooks
- Collaborate with customers and internal teams to translate workload requirements into sound infrastructure designs

Requirements:

- 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
- Experience with configuration-management tools such as Ansible
- Ability to diagnose complex, cross-layer infrastructure issues
- Strong communication and ability to drive technical decisions across teams
- Track record of moving quickly, taking ownership, and continuously improving systems

Nice to Have:

- Production Slurm experience
- High-performance networking: NVLink/NVSwitch, InfiniBand, RoCEv2, GPUDirect RDMA, NCCL, IMEX
- Hugepages, NUMA, CPU pinning
- SR-IOV, DPDK
- Distributed storage: Ceph, Lustre, Weka
- KubeVirt, OpenStack
- IPsec, WireGuard, Tailscale
- VXLAN, BGP, ECMP
- Bare-metal management: BMC, IPMI, Redfish, PXE/iPXE, Kickstart, cloud-init
- Network automation: NetBox, Nautobot, Nornir
- AI training, inference, or distributed GPU workload infrastructure
- Python or Go proficiency

## 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.

## About fal

## Company Overview
- **One-liner**: fal provides a serverless generative media platform for developers, enabling lightning-fast inference for image, video, audio, and 3D AI models.
- **Entity Type**: Private (Series D)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2021
- **Founders**: Burkay Gur, Gorkem Yurtseven

## Core Business
- **Industry**: Technology, Information, and Internet (Generative AI Infrastructure)
- **Target Customers**: B2B — developers, enterprises, and research labs building generative AI applications.
- **Mission**: Build the world’s first generative media platform for developers, enabling real-time AI content creation at scale.

## Products & Services
- **fal Inference Engine™**: A globally distributed serverless runtime optimized for large ML models on thousands of GPUs (H100, H200, B200). Up to 10x faster than alternatives, with 99.99% uptime and no cold starts.
- **Model Gallery**: A library of 1,000+ production-ready generative media models (image, video, audio, 3D) accessible via a unified API and SDKs.
- **Dedicated Compute Clusters**: On-demand or reserved GPU clusters for fine-tuning, training, or running custom models, with access to 1000s of Blackwell GPUs.
- **fal Compute**: Hourly GPU pricing for dedicated VMs, starting at $1.89/hr for high-end hardware.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (most recent round: $140M Series D)
- **Key Metric**: $140M Series D raised
- **Total Funding**: At least $163M across rounds (Pre-Seed $9M, Series A $14M, Series D $140M)
- **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz (a16z), Bessemer Venture Partners, Kleiner Perkins, NVIDIA
- **Growth Signals**:
    - Headcount grew 246% year-over-year to ~84 employees
    - Trusted by 1.5M+ developers and leading enterprises
    - Powers AI features for public companies and hypergrowth startups
    - SOC 2 compliant and enterprise-ready

## Competitive Advantages
- **Serverless, globally distributed inference engine** purpose-built for generative media, eliminating GPU configuration and cold starts.
- **Massive scale**: Capable of handling 100M+ daily inference calls with enterprise-grade reliability.
- **Proprietary distributed data-feeding engine** and deep optimization for diffusion models.
- **Deep ecosystem**: 1,000+ pre-integrated models and strong partnerships with NVIDIA and top-tier VCs.
- **Developer-first experience**: Unified API, SDKs, and per-output pricing model reduce barriers to deployment.

## Strategic Focus
- **Global infrastructure scaling**: Expanding GPU fleet across regions to meet accelerating demand for generative media.
- **Enterprise adoption**: Strengthening compliance (SOC 2, SSO), private endpoints, and dedicated support for large customers.
- **Generative Media Fund**: Investing in the next generation of companies building in the space.
- **Talent acquisition**: Aggressively hiring across engineering, go-to-market, and operations to keep pace with growth.

## Why Work Here
- **Engineering culture**: Fast-paced, high-agency environment focused on infrastructure and ML performance. Teams own critical systems from day one.
- **Work model**: Primarily in-person at downtown San Francisco office. Remote opportunities available for exceptional candidates.
- **Visa sponsorship**: Offered with relocation support to San Francisco.
- **Benefits**: Competitive salary and equity, health/dental/vision insurance, regular team events and offsites.
- **Growth trajectory**: Company is scaling rapidly (headcount +246% YoY) with ambitious goals to 1000x usage, offering significant career growth opportunities.
- **Impact**: Work on the foundational platform powering generative AI for millions of users and leading enterprises.

## Sources
1. [fal.ai](https://fal.ai/)
2. [fal Careers](https://fal.ai/careers)
3. [fal Blog - Series D Announcement](https://blog.fal.ai/our-series-d-scaling-fal/)
4. [LinkedIn - fal](https://www.linkedin.com/company/features-and-labels)
5. [Greenhouse Jobs Board](http://job-boards.greenhouse.io/fal)

## Other roles at fal

- [Community Growth](https://feeny.ai/job/community-growth-fal-san-francisco-kr7qer3t33f9) — San Francisco, CA
- [Growth Marketer](https://feeny.ai/job/growth-marketer-fal-san-francisco-2h7dy10cz890) — San Francisco, CA
- [Account Manager, Enterprise](https://feeny.ai/job/account-manager-enterprise-fal-san-francisco-wgmhm5avrwrg) — San Francisco, CA
- [Program Manager, Global Mobility & Immigration](https://feeny.ai/job/program-manager-global-mobility-immigration-fal-san-francisco-hqkkbr85qv6v) — San Francisco, CA
- [Founding GTM Recruiter](https://feeny.ai/job/founding-gtm-recruiter-fal-san-francisco-6xy1qg08tv1r) — San Francisco, CA
- [Product Storyteller](https://feeny.ai/job/product-storyteller-fal-san-francisco-hc3h74xg3nvx) — San Francisco, CA
- [Senior/Staff Software Engineer, Network Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-network-infrastructure-fal-united-states-s5jtc2a7y3yv) — United States
- [Account Receivable Specialist](https://feeny.ai/job/account-receivable-specialist-fal-san-francisco-z3r3jtrmfna2) — San Francisco, CA
- [GTM Operations Engineer](https://feeny.ai/job/gtm-operations-engineer-fal-san-francisco-917bk2d9xyh1) — San Francisco, CA
- [Technical Program Manager, Infrastructure](https://feeny.ai/job/technical-program-manager-infrastructure-fal-san-francisco-8nvn041q9b9e) — San Francisco, CA