Research Engineer - Decentralized AI Systems

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. 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 Apply Interested candidates should apply directly or send their resume and a brief cover letter to View email address on click.appcast.io. Please include links to any relevant projects or contributions. Additional Information Location: Remote (Global) Type: Full-time Company: Yotta Labs Apply: View email address on click.appcast.io #J-18808-Ljbffr