Staff Engineer, Distributed Storage and HPC & AI Infrastructure

📋 Description

• Architect and implement the technical strategy and storage roadmap for Together AI, driving
• Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while
• Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and
• Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy
• Code Kubernetes storage operators and controllers to enable automated provisioning, self-service
• Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for

🎯 Requirements

• 8+ years in storage engineering, managing distributed storage at multi-petabyte scale
• Proven track record deploying and operating high-performance storage for GPU/HPC clusters
• Deep Kubernetes and cloud-native storage experience in production environments
• Strong coding skills in Go and Python with demonstrated ability to build production-grade systems
• BS/MS in Computer Science, Engineering, or equivalent practical experience
• History of technical leadership: designing systems that significantly improved performance