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You will be updated with latest job alerts via email$ 170 - 300
1 Vacancy
Compute is a commodity. We think people should buy it like one.
Startups shouldnt be forced to buy a years worth of compute time in order to get market rate and compute providers shouldnt go bankrupt because they cant fully book their clusters.
At SF Compute our goal is to solve this issue the same way this was solved for every other commodity by building a venue where compute contracts are traded in real-time and by bringing a new kind of participant into the supply chain traders.
If we succeed buyers will be able to get a good price for any order whether its 32 H100s for a month or 8000 H100s for an hour and sellers will instantly book out their clusters because traders will speculatively buy them for a spread. Every FLOP will flow through us somewhere in the supply chain. WhatBrentis for oil we will be for compute.
ML training clusters are some of the most high performance computers on the planet. Even relatively small clusters would have been in the TOP500 5 years ago. Our supercomputing team is responsible for keeping our compute clusters running smoothly monitoring hardware health participating in on-call rotation and fixing things when they go wrong. We believe strongly in automation code is the only reliable way to manage hardware at scale. As we scale this will become a more data-driven role predicting failures before they happen. Were a small team so youll be spending time talking to customers as well.
Youve managed at least one GPU training cluster in the past (ideally a cluster with >1k GPUs but not required)
You deeply understand Linux networking fundamentals CUDA NCCL and Infiniband
You enjoy automating hardware deployments leveraging IaC wherever possible
You appreciate and value good documentation
Experience with Rust (our bare metal tooling is written in Rust)
Experience with Linux virtualization (KVM QEMU libvirt etc.)
Experience with Kubernetes implementation including CRDs and CNIs
Experience with HPC network architectures (eBGP fat-tree VXLAN MCLAG etc.)
Compensation
US: $170k - $300k equity
Team members are offered a competitive salary along with equity in the company
Yes we sponsor visas and work permits
We match 401(k) plans up to 4%
We offer competitive medical dental vision insurance for employees and dependents and cover 100% of premiums
We offer unlimited paid time off as well as 10 observed holidays
We offer biological adoptive and foster parents paid time off to spend quality time with family
We cover lunch daily for employees
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 Franciscos Fair Chance Ordinance and Californias ban-the-box laws.
If you require reasonable accommodation for any reason please reach out to us at .
Full-Time