Research Engineer - Decentralized AI Systems
Yotta LabsBrazil2 days ago
Full-timeRemote FriendlyEngineering, Information Technology
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Location: Remote (Global)
Type: Full-time
Company: Yotta Labs
Apply: [email protected]
🧠 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
Interested candidates should apply directly or send their resume and a brief cover letter to [email protected]. Please include links to any relevant projects or contributions.
Type: Full-time
Company: Yotta Labs
Apply: [email protected]
🧠 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.
- 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.
- 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.
- 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.
Interested candidates should apply directly or send their resume and a brief cover letter to [email protected]. Please include links to any relevant projects or contributions.
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