---
title: 'Software Engineer, Platform at fal'
canonical: 'https://feeny.ai/job/software-engineer-platform-fal-san-francisco-g1trv4g1f4z1'
type: 'job'
last_seen: '2026-09-10'
---

# Software Engineer, Platform at fal

- **Company:** fal
- **Location:** San Francisco, CA
- **Compensation:** $180k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-02-23
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/fal-ai/b8c5f81c-89c4-45c7-a1d9-3c190a523268/application

**Skills:** Python, Linux, Ansible, Terraform, cloud-init, LVM, RAID, NVMe, NFS, Lustre, GPFS, SELinux, AppArmor, systemd, cgroups, namespaces, CUDA, NVIDIA drivers, container runtimes, VLAN

> Build and maintain systems and tooling to manage a large fleet of GPU servers, including provisioning, health monitoring, and recovery. Implement OS-level security, optimize Linux systems for AI workloads, and develop automated error detection processes to ensure fleet health and productivity.

## 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 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

## 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

## 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, Kubernetes Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-kubernetes-infrastructure-fal-united-states-hx4cwfd1p5nz) — United States
- [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