Research Engineer – Decentralized AI Systems

Yotta Labs; Jaboatão dos Guararapes; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading company in decentralized AI infrastructure is seeking a Research Engineer to contribute to their innovative DeOS framework. This role involves optimizing AI workloads across heterogeneous GPU networks and collaborating with teams to ensure high availability. Ideal candidates will have strong programming skills, experience with distributed systems, and a passion for open-source projects.

Serviços

Flexible Work Environment

Qualificações

• Proficiency in AI programming languages such as Python.
• Experience with distributed systems, cloud computing, or blockchain technologies.

Responsabilidades

• Contribute to the development of the DeOS framework for optimizing AI workloads.
• Design and implement components for efficient AI workload orchestration.

Conhecimentos

Python

Problem Solving

Formação académica

Computer Science

Engineering

Ferramentas

PyTorch

Ray

Descrição da oferta de emprego

Job Title: Research Engineer - Decentralized AI Infrastructure

Company: Yotta Labs

Description: 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 across 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.

We are seeking a passionate Research Engineer to:

• Contribute to the development of our DeOS framework, focusing on optimizing AI workloads across heterogeneous networks of GPUs.
• Design and implement components for efficient AI workload orchestration.
• Develop and optimize software for managing geo-distributed GPU resources.
• Collaborate with teams to support various AI models and ensure high availability and fault tolerance.
• Engage with open-source projects and 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 like PyTorch and Ray.
• Strong problem-solving skills and ability to work remotely in a collaborative environment.
• Background in computer science, engineering, or related fields (preferred).

Preferred Experience:

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

Benefits: Join a visionary team working on cutting-edge AI and decentralized computing technologies, collaborating with experts from leading institutions and enjoying a flexible, remote work environment.

How to Apply: Send your resume and cover letter to [e-mail]. Include links to relevant projects or contributions.