Research Engineer - Decentralized AI Systems at Yotta Labs | Torre
Research Engineer - Decentralized AI Systems
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Yotta Labs

Research Engineer - Decentralized AI Systems

Yotta Labs
Posted by
Da Li
Emma
Emma
You will redefine AI infrastructure by optimizing planetary-scale AI workload orchestration.
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Full-time

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Compensation is to be agreed upon.
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Remote (for United States residents)
Remote (for Argentina residents)
Remote (for Brazil residents)
Remote (for Canada residents)
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Emma of Torre.ai
 3 days ago

Requirements and responsibilities

About Yotta LabsYotta 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 OverviewWe 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.ResponsibilitiesDesign 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.QualificationsProficiency in AI programming languages such as PythonExperience 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 ExperienceContributions 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 ApplyInterested 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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