The opportunity
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
What you'll do
Deploy and operate GPU Kubernetes clusters across clouds, and bring up new hardware generations and providers.
Work with cloud providers and hardware partners on reliability, performance,: and cost, including RDMA and high-speed interconnects.
Automate node, GPU, and fabric fault detection and remediation so most faults are fixed without a human.
Improve fleet utilization, track cost, and cut the time it takes to get a faulty node back into service.
Troubleshoot production failures and performance problems, and leave the: system easier to operate than you found it.
Run GPU Kubernetes clusters with thousands of GPUs for ML or HPC workloads.
What they're looking for
- Debugged Linux, networking, and performance problems. Familiarity with RDMA,: NCCL, or accelerator health is a plus.
- Written software in Python or Go. You would rather extend a solid open-source project than rebuild it.
- Worked with researchers, ML engineers, or another team whose goals were not identical to yours.
- Found a bottleneck, proposed a fix, and driven it in a fast-moving environment.
