Y
Yottavia Ashby
Research Engineer - Decentralized AI Systems
United StatesPosted 14mo ago
ResearchMid LevelFull-time
Not sure if you're a good fit?
Upload your resume and TixelJobs AI will compare it against Research Engineer - Decentralized AI Systems at Yotta. Get a match score, missing keywords, and improvement tips before you apply.
Free preview · Your resume stays private
About the Role
Location: Remote (Global)
Type: Full-time
Company: Yotta Labs
Apply: careers@yottalabs.ai
🧠 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.
✅ Qualifications
- 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 Experience
- 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.
🌐 Why Join Yotta Labs?
- 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.
📩 How to Apply
Interested candidates should apply directly or send their resume and a brief cover letter to careers@yottalabs.ai. Please include links to any relevant projects or contributions.
Type: Full-time
Company: Yotta Labs
Apply: careers@yottalabs.ai
🧠 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.
✅ Qualifications
- 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 Experience
- 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.
🌐 Why Join Yotta Labs?
- 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.
📩 How to Apply
Interested candidates should apply directly or send their resume and a brief cover letter to careers@yottalabs.ai. Please include links to any relevant projects or contributions.
Ready to apply?
This job is active. Apply now to get in early.