---
title: 'HPC/ GPU Cluster Architect at The San Francisco Compute Company'
canonical: 'https://feeny.ai/job/hpc-gpu-cluster-architect-the-san-francisco-compute-company-remote-sbe1f8983vfw'
type: 'job'
last_seen: '2026-11-09'
---

# HPC/ GPU Cluster Architect at The San Francisco Compute Company

- **Company:** The San Francisco Compute Company
- **Location:** Remote
- **Compensation:** $220k–$300k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-11-09
- **Apply:** https://jobs.ashbyhq.com/sfcompute/4b20fd99-8536-4a62-ad74-b7ba98f126be

## Job description

## About San Francisco Compute

San Francisco Compute exists to give ambitious teams large scale supercomputers without taking on a catastrophic balance sheet risk. Most GPU clouds force you to sign long term contracts with no way out. If you underbuy, you miss the window. If you overbuy, you’ll blow up with no way out. It’s a desperate gamble that San Francisco Compute does not force you to play.

Originally, SFC was an AI lab that bought too big of a GPU cluster and was forced to sublease it or go under. Today, we build data centers and supercomputers, then lease those machines on contracts that let our customers sublease. More than anyone else in the industry, we deeply felt the pain and fear of being forced to bet the farm with your neocloud vendor. To enable subleasing, we invented the first compute market and became the first to offer physical settlement. That means we operate GPU clusters like a neocloud and derisk our customers like a market.

Customers buying GPU clusters don’t want to work through a network of brokers. They want to transact with the folks that have the keys to the cluster and can own the SLA.

To keep the industry safe from unnecessary risk, SFC needs to scale fast. To do that, we serve financially motivated parties as a technical partner to build, operate, & lease supercomputers on their behalf. Basically, we help folks who want an economic return build GPU clusters on their balance sheet, but operated in full by us. That lets us retain the technical control needed to run a cloud while scaling fast like a market. SFC’s ability to offer subleasing can significantly increase the levered returns for cluster owners.

Our hybrid model outperforms brokered contracts or other “compute markets,” which have to go through a network of counterparties to solve problems. It also lets us design custom solutions for our customers, like clusters deployed in regions next to your dataset or physical eval set or a large CPU fleet deployed colocated with your GPU cluster.

Our team includes senior & technical leadership from places like Lambda, Crusoe, Digital Ocean, AWS, and Hut8. Our CTO is the cofounder and former CEO of Voltage Park. In prior roles, our team has deployed 8GW of datacenter capacity & hundreds of thousands of GPUs. We’ve been described as having “the highest talent density in the space.” If you are an honorable, gritty person with eyes wide open & good epistemics, who wants to see AI go right, we’d love to work with you.

There has never been a more critical moment in history and it is up to us to shape it on behalf of those who come after us.

## About the Role

GPU clusters are some of the most performant computers on the planet. Even smaller clusters by today’s standards would have ranked in the [TOP500](https://top500.org) five years ago. Our infrastructure team is responsible for architecting and deploying new clusters around the world and keeping them running smoothly. You’ll participate in on-call rotation, deploy new environments, fix issues when they arise, and lean into automation to enable deployments at scale. We’re a small but ambitious team so you’ll be an early contributor helping to shape culture, mentor junior engineers, and learn from our customers.

## About You

- You will have 5+ years of experience with hands-on designing, architecting and scaling at least one HPC or GPU compute cluster in production (ideally >1,000 GPUs, but not required)
- You deeply understand server hardware fundamentals, including GPUs, NICs, PCIe, memory, thermals, and power
- You’re comfortable debugging performance and reliability issues across hardware, OS, drivers, and networking layers; full-stack.
- The idea of automating fleet operations (provisioning, monitoring, remediation) excites you — you embrace infrastructure-as-code
- You appreciate, value, and generate strong operational documentation and runbooks
- You have the ability and willingness to mentor junior engineers and contribute to team culture
- You’re open to domestic travel when required

Some Nice to Haves

- Familiarity with data center operations including power, cooling, and colo/vendor engagements
- Strong Linux systems administration experience, including kernel drivers, RDMA stack tuning, and performance analysis
- Experience with schedulers and orchestration systems such as Slurm and Kubernetes
- Exposure to virtualization technologies (KVM, QEMU, libvirt)
- Experience utilizing telemetry pipelines for predictive hardware failure detection
- Experience troubleshooting high-speed fabrics such as InfiniBand and/or RoCEv2 Ethernet

## Benefits

Generous equity grant Team members are offered a competitive salary along with equity in the company

Visa Sponsorships Yes, we sponsor visas and work permits

Retirement matching We match 401(k) plans up to 4%

Medical, dental & vision We offer highly competitive medical, dental, vision insurance for employees and dependents.

Time off We offer unlimited paid time off as well as 10+ observed holidays

Parental leave We offer biological, adoptive, and foster parents paid time off to spend quality time with family

Daily lunch We cover lunch daily for employees

Unlimited office book budget You can buy as many books for the office as you want

The San Francisco Compute Company is committed to maintaining a workplace free from discrimination and harassment.

We make employment decisions based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, belief, national origin, social or ethical origin, age, physical, mental, or sensory disability, sexual orientation, gender identity or expression, marital status, civil union or domestic partnership status, past or present military service, HIV status, family medical history or genetic information, family or parental status including pregnancy, or any other status protected by law.

We welcome the opportunity to consider qualified applicants with prior arrest or conviction records. Our commitment to diversity includes hiring talented individuals regardless of their criminal history, in accordance with local, state, and federal laws, including San Francisco’s Fair Chance Ordinance and California’s ban-the-box laws.

## About The San Francisco Compute Company

## Company Overview
- **One-liner**: San Francisco Compute provides large-scale, vetted GPU clusters with flexible, short-term contracts and a liquid market that lets customers sublease unused capacity.
- **Entity Type**: Private (Series A; $52M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Evan Conrad (Co-Founder)

## Core Business
- **Primary industry**: AI infrastructure / GPU cloud computing
- **Target customers**: AI startups, enterprises, and research labs needing large-scale GPU clusters for pre-training, inference, and high-performance computing
- **Mission or purpose**: “De-risk the largest infrastructure build‑out in history” by creating a liquid market for GPU offtake, allowing companies to exit long-term contracts by selling capacity back to the market.

## Products & Services
- **GPU Cluster Rentals (H100 / H200)**: Virtual machines (VMs) and bare-metal clusters with 3.2 Tb/s InfiniBand fabric, parallel storage, and fast networking. Pricing starts at $2.04/hr per H100 node and fluctuates with market conditions. [sfcompute.com](https://sfcompute.com/)
- **Managed Slurm Clusters**: For customers who need a fully managed HPC scheduler environment. [sfcompute.com](https://sfcompute.com/)
- **Liquid Market for Offtake**: Customers can sign long-term contracts but then “sell back” unused capacity on a central limit order book, reducing the risk of being locked into fixed commitments. [sfcompute.com](https://sfcompute.com/about)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding – $52M (Series A: $40M led by Wing Venture Capital and DCVC in November 2025; earlier venture round: $12M led by Altman Capital in July 2024) [cbinsights.com](https://www.cbinsights.com/company/san-francisco-compute-company)
- **Notable Investors/Partners**: Wing Venture Capital, DCVC, Altman Capital
- **Growth Signals**: 112% YoY headcount growth (35 employees); featured in The Wall Street Journal, Bloomberg, and The New York Times; operates thousands of GPUs with ~1hr average lead time for scaling; active job postings for engineering roles. [linkedin.com](https://www.linkedin.com/company/sfcompute)

## Competitive Advantages
- **Flexible contracts**: No forced long-term commitments; customers can exit by selling capacity on the liquid market.
- **Own infrastructure stack**: Runs its own virtualization and bare-metal software, unlike a pure reseller.
- **Fast provisioning**: VMs spin up in about 5 minutes; large clusters in ~1 hour.
- **Failure-tolerant design**: Refunds for failed nodes and can repack healthy hardware.
- **Dedicated support**: Large clusters get a dedicated Slack channel with the engineering team and emergency phone escalation.

## Strategic Focus
- **Building the GPU offtake marketplace**: Enabling lenders and cluster developers to de-risk financing by offering customers an exit mechanism.
- **Expanding InfiniBand support**: Planning to offer InfiniBand on VMs in Q3 2026 (currently available on bare metal and managed Slurm).
- **Scaling operations**: Growing the team (currently 35) and continuing to expand cluster capacity in multiple regions (US, Saudi Arabia, Canada, Australia).

## Why Work Here
- **Engineering-led culture**: 32% of employees are in technical roles; the team builds and operates the full stack from UEFI up.
- **Small, fast-moving team**: 35 employees with 112% YoY growth, offering ownership and impact.
- **Location**: In-person culture in San Francisco (“the great city of progress”).
- **Notable perks**: Direct access to engineering, hands-on experience with cutting-edge GPU infrastructure, and the chance to solve novel problems in AI infrastructure financing.
- **Open roles** (6 active postings): Software Engineer (Systems, Cloud, Product), HPC/GPU Cluster Architect, Technical Program Manager, People & Talent Acquisition Leader. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/sfcompute)

## Sources
1. [sfcompute.com](https://sfcompute.com/) – Official website, pricing, FAQ
2. [sfcompute.com/about](https://sfcompute.com/about) – Mission, business model, market concept
3. [jobs.ashbyhq.com/sfcompute](https://jobs.ashbyhq.com/sfcompute) – Careers page, open roles
4. [linkedin.com/company/sfcompute](https://www.linkedin.com/company/sfcompute) – Company details, headcount, funding, employee breakdown
5. [cbinsights.com](https://www.cbinsights.com/company/san-francisco-compute-company) – Funding rounds, investors, headquarters

## Other roles at The San Francisco Compute Company

- [Commercial Counsel](https://feeny.ai/job/commercial-counsel-the-san-francisco-compute-company-san-francisco-hwm8yv3a9k28) — San Francisco, CA
- [Principal/Staff HPC Network Engineer](https://feeny.ai/job/principal-staff-hpc-network-engineer-the-san-francisco-compute-company-san-br0cy03c1e6y) — San Francisco, CA
- [Customer Support Engineer](https://feeny.ai/job/customer-support-engineer-the-san-francisco-compute-company-san-francisco-zje500wa86pa) — San Francisco, CA
- [Compute Partnerships Manager](https://feeny.ai/job/compute-partnerships-manager-the-san-francisco-compute-company-san-francisco-zpz7j73v2gma) — San Francisco, CA
- [Staff Design Engineer](https://feeny.ai/job/staff-design-engineer-the-san-francisco-compute-company-san-francisco-ysj84b7g1kte) — San Francisco, CA