Job Description: Decentralized AI Infrastructure Engineer
We are seeking a talented individual to contribute to the development of our Decentralized Operating System (DeOS) for AI workload orchestration at a planetary scale.
Mission
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.
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 Large Language Models (LLMs) and AI models.
- Evaluate and improve the scalability and performance of AI applications deployed on our platform.
Qualifications
- Proficiency in AI programming languages such as Python.
- Experience with distributed systems, cloud computing, or blockchain technologies.
- Familiarity with AI frameworks and tools.
- Strong problem-solving skills and the ability to work in a collaborative environment.
Job Highlights
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