C
CA$330,000 – CA$400,000
Listed on Cohere’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a team of engineers building and operating the GPU clusters that train frontier AI models, setting technical direction for how these superclusters are deployed, scheduled, and scaled across multi-cloud environments. This role suits experienced infrastructure leaders with deep Kubernetes expertise who want to work at the intersection of hardware, distributed systems, and AI at a company training cutting-edge models.
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
- Experience managing engineering or SRE teams with technical mentorship and hiring
- Running large Kubernetes compute fleets in production across multi-cloud environments
- Deep expertise in at least one layer of GPU training infrastructure (cluster operations, GPU networking, or hardware)
- Cost optimization and capacity planning for GPU infrastructure
- Track record partnering with researchers or ML engineers on reliability, cost, and delivery tradeoffs
Nice to have
- Willingness to get hands-on and learn infrastructure layers beyond your specialty