Software Engineer, Data Infrastructure

Cohere

• $145K — $175K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in data storage infrastructure
  • Strong proficiency in Python programming
  • Experience with Kubernetes, especially related to storage (Persistent Volumes, CSI drivers)
  • Ability to convert unstructured data into efficient datasets across various storage systems
  • Familiarity with distributed data processing frameworks like Apache Beam, Spark, or Flink
  • Nice-to-have experience with analytics tools such as BigQuery, Airflow, or dbt
  • Genuine interest in AI research and its applications
  • Comfortable working in innovative, less-charted territories

Responsibilities

  • Build and maintain high-performance data infrastructure for AI training workloads
  • Address networking and performance challenges associated with petabyte-scale storage
  • Collaborate with top-tier researchers and engineers in the AI field
  • Transform unstructured data into usable datasets for modeling
  • Utilize modern storage backends like S3, GCS, and POSIX

Benefits

  • Open and inclusive work culture
  • Collaborative, cutting-edge AI research environment
  • Weekly lunch stipend and in-office meals
  • Full health and dental benefits with a mental health budget
  • 100% parental leave top-up for up to 6 months
  • Personal enrichment benefits for arts, fitness, and workspace
  • Remote-flexible working options and co-working stipend
  • Generous vacation policy with 6 weeks off (30 working days)
Full Job Description
Why this role?

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.

In this role, you will:
  • 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

You may be a good fit if you have:
  • 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.

It's a bonus if you have:
  • 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.


Full-Time Employees at Cohere enjoy these Perks:
  • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
  • Full health and dental benefits, including a separate budget for mental health.
  • RRSP matching, 401K, Pension Scheme.
  • 100% Parental Leave top-up for up to 6 months, for either parent.
  • Annual enrichment benefits:
    Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
    Education & learning stipend for conferences, courses, and coaching.
  • 6 weeks of paid vacation (30 working days!)
  • Budget for traveling to other offices if you are remote, plus an annual company offsite.


How and Where We Work:
  • Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
  • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
  • For those not near an office: a co-working benefit so you can work alongside others in your city.
  • Everyone receives a $500 home office stipend to set up your workspace properly.

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

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