Software Engineer, Cohere

• Strong storage fundamentals, including replication, consistency, caching, and data lifecycle management
• Strong coding ability. We work in Python and Go; experience in either is enough, but you should be willing to pick up the other
• Experience running stateful systems on Kubernetes, including Persistent Volumes, CSI drivers, and StatefulSets
• Hands-on experience with cloud object storage such as S3 as well as POSIX-style filesystems
• If any of the above doesn’t line up exactly with your experience, we still encourage you to apply

Desirable

• The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads.
• It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale
• Design, build, and operate the distributed storage system that feeds model training and evaluation
• Run this system multiple on Kubernetes clusters at petabyte scale
• Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements
• Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success