Job Title: Research Engineer - Decentralized AI Systems

Company Name: Yotta Labs

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/v2s81qmok8kuqqg1

Job Description: Posted 9mo agoResearch Engineer - Decentralized AI Systems@ Yotta LabsView All JobsWebsiteUnited States or Canada or Argentina or Brazil or MexicoRemoteFull TimeResponsibilities:Design DeOS components, Optimize GPU resource management, Collaborate on LLM supportRequirements Summary:Python, distributed systems, cloud or blockchain, PyTorch/Ray, strong problem solving, collaborative remote work.Technical Tools Mentioned:Python, PyTorch, Ray
Location: Remote (Global)Type: Full-timeCompany: Yotta LabsApply: careers@yottalabs.ai🧠 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.