We're building the company which will de-risk the largest infrastructure build-out in history.
When people finance GPU clusters, the datacenters housing them, and the infrastructure powering them, they need "offtake" - meaning someone has signed a contract to lease the cluster for a period of time before its even built.
Financing a GPU cluster is inherently risky, since margins are thin and volumes are huge. Lenders don't want to take on the risk that cluster developers can't repay their loan, and cluster developers really don't want to risk not selling their cluster. As a result, risk is offloaded to the customer using fixed-price long-term contracts.
If you don't mitigate this customer risk, there's a bubble. This isn't SaaS anymore - application layer companies sign multi-year contracts for computer and inference, but sell to customers on monthly subscriptions. If you mess up a purchase, it's game over: a minor shift in your revenue growth rate might mean the difference between profit or bankruptcy. But what if companies could exit their contract by selling it back to the market?
Otherwise, as AI scales, compute only becomes available to folks who can effectively take on that risk. A 2-person startup in a San Francisco Victorian can't realistically sign a 5-year take or pay contract on $100m supercomputers. But they may be able to buy the month of liquidity that someone else sold back.
So that's what we make: a liquid market for GPU offtake.
This is a hybrid role that is part technical and part customer-facing. You’ll be the first point of contact for our customers and the most knowledgeable person in the company about each customer's unique needs. You’ll help triage customer issues and work closely with the rest of engineering to automate solutions. You’ll champion customer needs within the company and build the flywheel that feeds customer feedback back into our products.
This role may be a good fit for you if…
You have 4+ years of experience in customer-facing technical support or solution architecting
You have experience working in a customer-facing role
You are extremely organized and have high EQ and empathy for customers
You appreciate and value good documentation
You have excellent oral and written communication skills
You have experience working in HPC/GPU compute infrastructure
Have experience deploying and configuring orchestration systems like SLURM and Kubernetes
You’re comfortable automating tasks using Python and shell scripts
Have worked with high-performance networking like InfiniBand and RoCE,
Have experience with high IOPs filesystems like Weka and Vast.
You have experience with Linux virtualization
You’ve deployed GPU workloads, either for training or inference
Have worked with large-scale HPC deployments (>1000 GPUs)
Have deep experience with the NVIDIA ecosystem, including driver installation and troubleshooting
Serving as a technical touch point for customers
Creating and updating documentation on our platform
Creating internal processes for customer ticketing and architecting our support stack
Working with the Systems team to integrate customer feedback into the product
Handling customer issues, or triaging them to the right person inside the company
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 Francisco’s Fair Chance Ordinance and California’s ban-the-box laws.
If you require reasonable accommodation for any reason, please reach out to us at hiring@sfcompute.com
Compute is a commodity. We think people should buy it like one.
Startups shouldn’t be forced to buy a year’s worth of compute time in order to get market rate and compute providers shouldn’t go bankrupt because they can’t 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.
Buyers will be able to get a good price for any order, whether it’s 32 H100s for a month or 8,000 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. What Brent is for oil, we will be for compute.
