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Research Engineer Decentralized AI Systems

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 like PyTorch and Ray.
  • Background in computer science, engineering, or related fields is preferred.

Requirements:

  • Design and implement components of the DeOS for AI workload orchestration.
  • Develop and optimize software for managing geo-distributed GPU resources.
  • Collaborate with teams to support various AI models and ensure system reliability.
  • Contribute to open-source projects and engage with the developer community.

Job description

Location: Remote (Global)

Type: Fulltime

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 geodistributed GPUs, enabling highperformance computing for AI training and inference on a wide spectrum of hardware—from commodity to highend 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 geodistributed, heterogeneous GPU resources.

  • Collaborate with crossfunctional teams to integrate support for various LLMs and AI models.

  • Ensure high availability and fault tolerance in decentralized computing environments.

  • Contribute to opensource 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 problemsolving 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 opensource 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 cuttingedge 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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