Description
We're looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.
You will instrument spine-leaf fabrics, BGP, SDN overlays, and cloud interconnect products well enough to build them. You'll own the observability and efficiency surface for Anthropic's network: from per-flow telemetry on backbone routers, to QoS policy on cross-region links carrying inference traffic, to cost attribution that tells a research team exactly what their checkpoint sync is costing.
This is a hands-on IC role. You'll write code (Python, Go), build dashboards, model capacity, and ship config changes to production routers. You'll also influence architecture: when the data says a traffic pattern is pathological, you'll be in the room root causing it and fixing it.
You will be working across three areas: network telemetry and observability, traffic engineering, and cost modeling and attribution. We expect you to be strong in at least two and willing to grow into the third.