Company field note
Auto-discovered from public company career pages; Aspirova links out to the original source.
Open opportunities
17 opportunities
Hyperbolic
We're looking for an Inference Engineer to build inference capabilities on top of Forge, our unified control plane, so customers can consume model tokens without managing GPUs and our NeoCloud partners get a full-stack…
Two paths open up from here: move into closing deals, or build out the operations function itself, either path is earned by doing this job well.
When a customer's GPU cluster has a problem, you are the first engineer they talk to, and most of the time you are the only one they need to.
You'll work directly with the Head of Finance and CEO to raise the capital that funds our compute supply, across conventional facilities and structures that don't have a standard playbook yet.
Beyond execution, you will help design the systems, processes, and sources of truth that allow our supply operations to scale.
Working directly with the Head of Supply and company founders, you'll own supplier relationships from first conversation through signed agreement.
We're seeking a Head of Operations to own and scale the operational backbone of Hyperbolic during a period of rapid growth.
We're looking for a technical writer who can create content on GPU architectures, distributed training, inference optimization, and AI infrastructure-topics where deep technical understanding drives credibility.
We're seeking a Head of Supply to build and scale the GPU supply side of Hyperbolic's marketplace.
We're seeking a Platform Engineer to design and build the control plane that powers Hyperbolic's GPU marketplace.
We're seeking a very senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution.
We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace.
As a Full Stack Engineer at Hyperbolic Labs, you'll work closely with our Product and Engineering teams to design, build, and scale end-to-end applications that power our AI cloud platform.