Research Engineer Decentralized AI Systems

Work set-up: 
Full Remote
Contract: 
Work from: 

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., Background in computer science, engineering, or related fields is preferred..

Key responsibilities:

  • 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.

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Yotta Labs https://yottalabs.ai
2 - 10 Employees
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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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration

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