🛠 Tech Stack

💼 About This Role

You'll develop a Decentralized Operating System (DeOS) for AI workload orchestration across geo-distributed GPUs. Your work will enable elastic, high-performance AI training and inference at scale. This is a chance to shape next-gen decentralized AI infrastructure.

🎯 What You'll Do

• Design and implement components of the DeOS for AI workload orchestration.
• Optimize software for managing geo-distributed heterogeneous GPU resources.
• Integrate support for various LLMs and AI models.
• Ensure high availability and fault tolerance in decentralized computing.

📋 Requirements

• Proficiency in Python.
• Experience with distributed systems or cloud computing.
• Familiarity with AI frameworks (e.g., PyTorch, Ray).
• Background in computer science or related field.

✨ Nice to Have

• Open-source contributions in AI or decentralized systems.
• Experience with GPU programming and optimization.
• Familiarity with vLLM, SGLang, or Verl.

🎁 Benefits & Perks

• 🌍 Remote-first culture
• 💡 Cutting-edge tech at intersection of AI and decentralization
• 🤝 Collaborate with experts from leading institutions
• ⏰ Flexible work hours

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application Review· 1 week
2. 2Technical Interview· 1 hour
3. 3Hiring Manager Interview· 45 min

[email protected]