Frontend Engineer, Hyperbolic

Salary not provided
React
Kubernetes
TypeScript
Redux
React Native
JavaScript
Go
Postgres
ChatGPT
Junior, Mid and Senior level
San Francisco Bay Area

More information about location

Hyperbolic

Open-access AI cloud

Open for applications

Hyperbolic

Open-access AI cloud

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSCloud Computing

Open for applications

Salary not provided
React
Kubernetes
TypeScript
Redux
React Native
JavaScript
Go
Postgres
ChatGPT
Junior, Mid and Senior level
San Francisco Bay Area

More information about location

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSCloud Computing

Company mission

To democratize AI by breaking down the barriers to computing power with our open-access AI cloud.

Role

Who you are

  • Have a passion for crafting engaging and responsive applications
  • Have strong software engineering skills with a proven track record of independently driving or leading scalable projects
  • Are skilled in languages like JavaScript and TypeScript
  • Have experience with frameworks such as React.js and React Native
  • Understand state management tools including Redux and React Context

Desirable

  • Knowledge about Go programming language
  • Experience in cloud infrastructure, Kubernetes, and databases such as PostgreSQL
  • Familiarity with crypto, web3, blockchain, and wallets
  • Familiarity with AI, including large language models (LLMs) like ChatGPT and Llama. Excited about the future of AI

What the job involves

  • As a Frontend Engineer at Hyperbolic Labs, you will work in tandem with our Product Team to build the frontend for our AI inference and GPU marketplace products

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 headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

Company

Funding (2 rounds)

Jul 2024

$7m

SEED

Jan 2022

$0.7m

SEED

Total funding: $7.7m

Company HQ

SoMa, San Francisco, CA

Leadership

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.

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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