Graphcore has built a new type of processor for machine intelligence to accelerate machine learning and AI applications for a world of intelligent machines. Backed by Air Street.
About the role
As Principal Storage Architect, you will define the high-performance storage architecture for Graphcore's AI computing and data center infrastructures. You will lead the design of local and distributed storage tiers that provide the throughput, availability, and predictable tail latency required for large-scale training and inference. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience implementing, testing, or troubleshooting GPU Direct Storage or comparable direct accelerator-to-storage technologies
- Experience designing or operating NVMe over Fabrics deployments using RoCEv2 or TCP
- Experience with the Storage Performance Development Kit or other user-space storage frameworks
- Familiarity with high-performance parallel and distributed file systems such as Weka, VAST Data, Lustre, DAOS, DDN, or comparable platforms
- Knowledge of Compute Express Link and its implications for future memory and storage tiering in AI servers
More about this role
Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption.
As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack.
As Principal Storage Architect, you will define the high-performance storage architecture for Graphcore's AI computing and data center infrastructures. You will lead the design of local and distributed storage tiers that provide the throughput, availability, and predictable tail latency required for large-scale training and inference.
Working within Advanced Architecture, you will address storage requirements for saving model states, offloading key-value caches, large datasets, and high-speed data-loading pipelines. You will combine hands-on performance engineering with Principal-level technical leadership across hardware, software,...
Browse similar: AI jobs · AI startup jobs · Startup jobs