Yotta Labs · 3 months ago
Research Engineer - Decentralized AI Systems
Yotta Labs is pioneering the development of a Decentralized Operating System for AI workload orchestration at a planetary scale. The Research Engineer will contribute to the development of the DeOS framework, focusing on optimizing AI workloads across a heterogeneous network of GPUs, impacting the scalability and performance of AI applications.
AI InfrastructureArtificial Intelligence (AI)Cloud ComputingGPU
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
Qualification
Required
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
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
Benefits
Enjoy a flexible, remote work environment that values innovation and autonomy.
Company
Yotta Labs
Building the GPU Cloud for efficient ML with heterogeneous hardware and cross-cloud orchestration
H1B Sponsorship
Yotta Labs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Early StageTotal Funding
$3.8MKey Investors
National Science Foundation
2025-09-30Seed· $3.5M
2025-09-08Grant· $0.3M
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