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$175–225K / year · Remote · United States
Hammerspace provides a Global Data Environment that unifies unstructured data across edge, core and multi-cloud, giving AI and HPC workloads high-throughput, low-latency access.
Hammerspace is a data infrastructure company that addresses a persistent bottleneck in artificial intelligence and high-performance computing: unstructured data trapped in silos and slow to reach the machines that need it. Its Global Data Environment unifies unstructured data across edge, core and multi-cloud environments, delivering high-throughput, low-latency access designed to keep GPUs busy rather than waiting on storage.
The company's Hybrid Cloud Data Control Plane is built on Linux, NFS and other open standards, with data abstracted from the underlying storage and made available to any service in any cloud or data centre. Deployment is instant and agentless, and existing data is assimilated without migration, allowing organisations to run the platform on infrastructure they already own.
Hammerspace's customers include NVIDIA, Meta and the U.S. Department of Defense, reflecting demand across artificial intelligence, HPC, enterprise IT, government and defence, and research. The technology is deployed worldwide, spanning global edge, core and multi-cloud environments.
Technical work at Hammerspace spans unstructured data management, hybrid cloud control planes, data orchestration, storage virtualisation and GPU data-pipeline optimisation, with a stated commitment to open standards. The stated aim is to remove the barriers that leave GPUs idle and to give researchers and enterprises fast time-to-insight.