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Research Engineer - Decentralized AI Systems

Job in Gatineau, Province de Québec, Canada
Listing for: Yotta Labs
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Systems Engineer, Data Scientist
Job Description & How to Apply Below

Research Engineer - Decentralized AI Systems

Join to apply for the Research Engineer - Decentralized AI Systems role at Yotta Labs.

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.

Location: Remote (Global)

Type: Full-time

Company: Yotta Labs

Apply: careers

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

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