Yotta Labs
Artificial Intelligence • Cloud Computing • SaaS
Yotta Labs is building the DeOS for AI optimization and orchestration at planet scale. The company provides a high-performance framework to aggregate geo-distributed GPUs, delivering high throughput for heterogeneous compute resources. Yotta Labs focuses on affordability and accessibility for AI training and inference across a spectrum of GPUs, including commodity to high-end options. Their platform supports large language models (LLMs) and enables users to fine-tune AI applications seamlessly, deploying secure AI agents in the cloud with optimized API endpoints.
Research Engineer - Decentralized AI Systems
August 9
Yotta Labs
Artificial Intelligence • Cloud Computing • SaaS
Yotta Labs is building the DeOS for AI optimization and orchestration at planet scale. The company provides a high-performance framework to aggregate geo-distributed GPUs, delivering high throughput for heterogeneous compute resources. Yotta Labs focuses on affordability and accessibility for AI training and inference across a spectrum of GPUs, including commodity to high-end options. Their platform supports large language models (LLMs) and enables users to fine-tune AI applications seamlessly, deploying secure AI agents in the cloud with optimized API endpoints.
📋 Description
• Remote (Global) • Full-time • Yotta Labs is pioneering the development of a Decentralized Operating System (DeOS) for AI workload orchestration at a planetary scale. • We are seeking a Research Engineer with a passion for decentralized systems and AI infrastructure. • 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. • 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.
🎯 Requirements
• 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.
🏖️ Benefits
• 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.
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