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Staff Engineer, Distributed Storage and HPC & AI Infrastructure
Together AI
Amsterdam · On-siteLead (10+ years)Full-timePosted 16 days ago
About the job
What you'll do
Architect and scale multi-petabyte storage systems for AI training and inference, integrating parallel filesystems and object stores while optimizing performance, cost, and reliability. Build Kubernetes-native storage operators and self-service platforms, and tune caching, data paths, networking, and storage isolation for GPU clusters.
What they're looking for
Requires 8+ years of storage engineering experience, including production operation of multi-petabyte, high-performance storage for GPU or HPC clusters, and deep Kubernetes storage expertise. Candidates should have strong Go and Python skills, expertise in distributed or parallel storage systems, and experience with infrastructure automation, Linux storage, observability, and technical leadership.
Full description