Key Facts

Remote From:

Brazil , Argentina , Mexico , Canada , United States

Full time

English

Hard Skills

Python (Programming Language) Distributed Computing Cloud Computing GPU Optimization Programming Languages Decentralized Applications (DApps) PyTorch (Machine Learning Library) Mental Ray

Other Skills

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Problem Solving
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Collaboration
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Innovation

Roles & Responsibilities

Proficiency in AI programming languages such as Python
Experience with distributed systems, cloud computing, or blockchain technologies
Familiarity with AI frameworks and tools (e.g., PyTorch, Ray)
Strong problem-solving skills and the ability to work in a collaborative, remote environment

Requirements:

Design and implement components of the DeOS for efficient AI workload orchestration
Develop and optimize software for managing geo-distributed, heterogeneous GPU resources
Collaborate with cross-functional teams to integrate support for various LLMs and AI models
Ensure high availability and fault tolerance in decentralized computing environments

Yotta Labs

About Yotta Labs

Yotta Labs is at the forefront of building a cutting-edge protocol that serves as the Decentralized OS for AI workload orchestration at Planet Scale. The Decentralized Operating System (DeOS) from Yotta is designed to maximize the utilization of available resources by optimizing LLM training/inference flows and efficiently scheduling AI workloads across decentralized networks running geo-distributed GPUs worldwide, pushing the aggregated processing limit to an unprecedented Yottascale. (Yottascale is 1,000,000 of exascale, which is current limit of the fastest supercomputer in the world) Founded by a team of industry and academia experts in AI and HPC (High-performance Computing), Yotta Labs team has a proven track record of delivering exceptional work. Through cutting-edge approaches invented by the team to optimize resource orchestration and intra-/inter-node communication, we strive to unlock the maximum potential of decentralized AI. For more information about aelf, please refer to our Whitepaper: https://yottalabs.ai/whitepaper

Founded: 2018

Company size: 2 - 10

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Job description

Location: Remote (Global)

Type: Full-time

Company: Yotta Labs

Apply: careers@yottalabs.ai

🧠 About Yotta Labs

Yotta Labs is pioneering the development of a Decentralized Operating System (DeOS) for AI workload orchestration at a planetary scale. Our mission is to democratize access to AI resources by aggregating geo-distributed GPUs, enabling high-performance computing for AI training and inference on a wide spectrum of hardware—from commodity to high-end GPUs. Our platform supports major large language models (LLMs) and offers customizable solutions for new models, facilitating elastic and efficient AI development.

🛠️ Role Overview

We are seeking a Research Engineer with a passion for decentralized systems and AI infrastructure. In this role, you will contribute to the development of our DeOS framework, focusing on optimizing AI workloads across a heterogeneous network of GPUs. Your work will directly impact the scalability and performance of AI applications deployed on our platform.

🎯 Responsibilities

Design and implement components of the DeOS for efficient AI workload orchestration.
Develop and optimize software for managing geo-distributed, heterogeneous GPU resources.
Collaborate with cross-functional teams to integrate support for various LLMs and AI models.
Ensure high availability and fault tolerance in decentralized computing environments.
Contribute to open-source projects and engage with the developer community.

✅ Qualifications

Proficiency in AI programming languages such as Python
Experience with distributed systems, cloud computing, or blockchain technologies.
Familiarity with AI frameworks and tools (e.g., PyTorch, Ray).
Strong problem-solving skills and the ability to work in a collaborative, remote environment.
A background in computer science, engineering, or a related field is preferred.

🌟 Preferred Experience

Contributions to open-source projects in AI or decentralized systems.
Experience with GPU programming and optimization.
Familiarity with frameworks and libraries like vLLM, SGLang, and Verl.

🌐 Why Join Yotta Labs?

Be part of a visionary team aiming to redefine AI infrastructure.
Work on cutting-edge technologies that bridge AI and decentralized computing.
Collaborate with experts from leading institutions and tech companies.
Enjoy a flexible, remote work environment that values innovation and autonomy.

📩 How to Apply

Interested candidates should apply directly or send their resume and a brief cover letter to careers@yottalabs.ai. Please include links to any relevant projects or contributions.

Ready to apply?

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