Staff Engineer, Distributed Storage and HPC & AI Infrastructure

📋 Description Architect and implement storage roadmap and high-performance architecture for scaling GPU fleet. Scale multi-petabyte AI/ML storage; integrate Vast, Weka, Ceph; auto tiering. Develop intelligent caching and tiered storage for extreme IOPS and GPU-scale throughput. Tune storage isolation at L2/L3 networks for secure multi-tenant storage. Code Kubernetes storage operators and controllers for automated provisioning and quotas. Aim for 10+ GB/s per GPU node; design multi-tier caching; scale across thousands of nodes. 🎯 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 production-grade systems and tooling BS/MS in Computer Science, Engineering, or equivalent practical experience History of technical leadership: designing systems that significantly improved performance, reliability (99.999%+ uptime), or cost efficiency 🎁 Benefits Competitive compensation, startup equity, health insurance, and benefits. Flexible remote work options.