Offer summary

Qualifications:

Proficiency in AI programming languages such as Python., Experience with distributed systems, cloud computing, or blockchain technologies., Familiarity with AI frameworks and tools like PyTorch and Ray., A background in computer science, engineering, or a related field is preferred..

Key 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.

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.

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