Who you are

- 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

- Experience with parallel or HPC filesystems such as Weka, VAST, or Lustre

- Familiarity with the data-loading and checkpointing patterns used in large-scale model training
- An interest in how large models are trained and evaluated, including the trajectory and eval data those runs generate, and a desire to understand the workloads the platform is serving

- If any of the above doesn’t line up exactly with your experience, we still encourage you to apply

What the job involves

- 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

Benefits

- Six weeks’ paid vacation

- Equity / stock options
- RRSP, 401(k), and Pension Scheme contributions

- Coverage for 100% of your insurance premiums across health, dental, vision, and travel

- Additional coverage for accessing mental health providers/services

- Six months of fully paid parental leave, including adoption and surrogacy

- Financial support for egg freezing and IVF in Canada and the UK
- A monthly fitness and wellness allowance

- Globally dispersed company that supports a remote work culture
- A $2,000 annual education benefit for career development
- A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
- A monthly arts and culture allowance
- A monthly quality time allowance

📌 Software Engineer (London)
🏢 Cohere
📍 London