Senior Platform Engineer, Hyperbolic

Salary not provided

Kubernetes

Python

Bash

Git

Golang

Senior level

San Francisco Bay Area

More information about location

Open-access AI cloud

Job no longer available

Open-access AI cloud

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSCloud Computing

Job no longer available

Salary not provided

Kubernetes

Python

Bash

Git

Golang

Senior level

San Francisco Bay Area

More information about location

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSCloud Computing

Company mission

To build the world's most accessible and comprehensive AI platform, empowering developers with affordable, seamless access to meet all their AI needs in one unified platform.

Job

Company

Role

Who you are

If you are interested in building the first widespread distributed operating system, Hyperbolic is the place for you!
Have written a (golang) kubernetes operator or controller
Have implemented network-as-code architectures
Have built custom kubernetes clusters from scratch using Kubeadm
Have implemented a GitOps stack (preferably with ArgoCD)

Desirable

Tailscale, Headscale, Wireguard, Kilo
Calico, Cilium, Flannel, etc
Traefik, Istio
Rook/Ceph or comparable cloud-native storage operators
GRPC
GPG, Python, Bash/Make

What the job involves

We’re seeking a senior platform engineer to develop critical components of our p2p GPU compute marketplace
Underpinning our decentralized cloud are several innovative combinations of distributed computing automation, kubernetes operators, and private networking code

Application process

When applying, please provide your background and how you heard about us

Our take

As AI models become more complex, they require substantial computer power. This puts a strain on companies and slows down the adoption of AI technologies, as the infrastructure needed to support these models can be costly and resource-intensive.

Hyperbolic is leveraging blockchain technology to create a decentralized cloud network that aggregates GPU computer power. By pooling resources from various contributors, Hyperbolic aims to make AI computing more efficient and affordable.

Its innovative approach hasn't gone unnoticed, with the company recently securing substantial funding. This will enable Hyperbolic to advance its technology and expand its network, working towards its goal of building an open AI ecosystem where contributors and users can benefit from shared computing resources.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Dec 2024

$12m

SERIES A

Jul 2024

$7m

SEED

Total funding: $19.7m

Company HQ

Rincon Hill, San Francisco, CA

Leadership

Dr. Jasper (Yue) Zhang

(Co-Founder &CEO)

Graduated from UC Berkeley with a Math PhD. Gold Medalist at Alibaba Global Math Competition and Chinese Mathematical Olympiad. Previously worked at Ava Labs and Citadel Securities.

Dr. Yuchen Jin

(Co-Founder & CTO)

Graduated from the University of Washington with a PhD in CS Systems and Networking with publications at top conferences including ICLR, SIGCOMM, NSDI and SOSP. Previously led Relax, an open-source AI complier within Apache TVM.

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