Description:

Yotta Labs is pioneering the development of a Decentralized Operating System (DeOS) for AI workload orchestration at a planetary scale.
The 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.
The platform supports major large language models (LLMs) and offers customizable solutions for new models, facilitating elastic and efficient AI development.
The Research Engineer will contribute to the development of the DeOS framework, focusing on optimizing AI workloads across a heterogeneous network of GPUs.
The role will directly impact the scalability and performance of AI applications deployed on the platform.

Requirements:

Proficiency in AI programming languages such as Python is required.
Experience with distributed systems, cloud computing, or blockchain technologies is necessary.
Familiarity with AI frameworks and tools, such as PyTorch and Ray, is expected.
Strong problem-solving skills and the ability to work in a collaborative, remote environment are essential.
A background in computer science, engineering, or a related field is preferred.

Employees will be part of a visionary team aiming to redefine AI infrastructure.
The opportunity to work on cutting-edge technologies that bridge AI and decentralized computing is provided.
Collaboration with experts from leading institutions and tech companies is encouraged.
A flexible, remote work environment that values innovation and autonomy is offered.