HPC Solutions Architect
SF Compute
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. About the role: 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 requires a full-time, in-person presence at our SF office (Monday to Friday). 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 HPC/GPU compute infrastructure
- Have experience deploying and configuring orchestration systems like SLURM and Kubernetes
- You have experience with Linux virtualization
- Have worked with high-performance networking like InfiniBand and RoCE
- Have experience with high IOPs filesystems like Weka and Vast.
- Have deep experience with the NVIDIA ecosystem, including driver installation and troubleshooting
- You're comfortable automating tasks using Python and shell scripts
- You've deployed GPU workloads, either for training or inference
- Have worked with large-scale HPC deployments (>1000 GPUs)
- 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
Vacancy posted 4 days ago
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