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Lustre Storage Administrator (Research & HPC Data Platforms)

Stanford’s Research Computing team is seeking a storage expert to join our Research & HPC Data Platforms group. This is a flexible-level posting; we are seeking either a Storage Architect or a Senior Storage Systems Administrator to maintain and expand our current world-class infrastructure.

You will work directly with our research and HPC data platforms team lead to manage a diverse environment of more than 100PB and 5 billion files, including high-speed Lustre, MinIO object storage, and Lustre HSM, among other platforms.

Why Stanford?
You aren’t just managing a storage cluster; you are architecting a data and storage ecosystem that supports Nobel-caliber research across all disciplines.

GPU Systems Engineer

Stanford Research Computing seeks an exceptional GPU Cluster Lead Engineer to oversee technical operations, optimization, and strategic development of Marlowe, Stanford's NVIDIA SuperPOD. This role combines deep technical expertise in GPU computing, large-scale cluster management, and leadership in supporting a diverse research community. 

You will serve as the technical authority on GPU infrastructure, driving system performance and reliability while enabling groundbreaking research in AI/ML, computational biology, physics, and beyond.

Why Stanford?
You will be managing a key component of a world-class research environment, in the fast-moving world of AI and other cutting-edge research. 

HPC Systems Administrator (Hardware & Infrastructure Operations)

The Sherlock HPC cluster is the flagship of Stanford’s research computing environment, supporting thousands of users and a massive variety of scientific workloads. We are looking for an HPC Systems Administrator who thrives at the intersection of high-density hardware and Linux systems engineering.

In this role, you will be the primary steward of the physical infrastructure on Sherlock and other platforms. You will ensure that our 1,500+ compute nodes, high-density GPU racks, and petabyte-scale storage arrays are meticulously maintained, expertly tuned, and highly available.

Why Stanford?
You won't just be swapping parts; you will be managing the physical backbone of a world-class research environment. From debugging errors on NVIDIA H200s to optimizing InfiniBand cabling for our Lustre scratch tiers, your work is the foundation upon which Nobel-caliber research is built.

Principal Storage Architect & Team Lead

Stanford University operates one of the most sophisticated academic storage ecosystems in the world, with aggregate capacity exceeding 100PB and 5 billion files. We are seeking a world-class technical leader to oversee our primary research storage platforms. These services span the gamut from the 15PB flash-based Lustre scratch filesystem on our Sherlock HPC cluster to archival storage on the Elm HSM platform.

Why Stanford?
You aren’t just managing a storage cluster; you are architecting a data and storage ecosystem that supports Nobel-caliber research across all disciplines.