Software Engineer, Data Infrastructure
CohereNew York, San Francisco, Canada, United States, Toronto, Montreal · Remote · full time
$160,000 – $325,000
Listed on Cohere’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Cohere is seeking a Software Engineer to design and operate a petabyte-scale distributed storage system that feeds model training and evaluation workloads across thousands of GPUs. This role suits experienced infrastructure engineers comfortable with storage fundamentals, Kubernetes, and cloud systems who want to tackle the data movement challenges of large-scale AI training.
Our summary, not Cohere’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Storage fundamentals including replication, consistency, caching, and data lifecycle management
- Strong coding ability in Python and/or Go
- Experience running stateful systems on Kubernetes
- Hands-on experience with cloud object storage like S3 and POSIX-style filesystems
Nice to have
- Experience with parallel or HPC filesystems such as Weka, VAST, or Lustre
- Familiarity with data-loading and checkpointing patterns in large-scale model training
- Interest in how large models are trained and evaluated