Drimva

Meter

Software Engineer, Models

San Francisco · Hybrid · Full-time · Posted Apr 22, 2026

About the job

Build a system for capturing network engineers’ diagnostic reasoning as structured training data, enabling models to learn from it and improve network automation.

What you'll do

  • Observe network engineers’ workflows and determine what data and reasoning records the system should capture.
  • Build an annotation interface connecting historical support tickets with network state and engineers’ diagnostic reasoning.
  • Develop the data pipeline and support model benchmarks to measure improvements from the collected training data.

What they ask for

  • Experience building end-to-end backend systems.
  • Experience making consequential architectural decisions, including data-storage decisions.
  • Deep customer empathy and focus on tool adoption and user satisfaction.

Tools

TypeScript, React, Go, GraphQL, Kafka, Postgres, ClickHouse, Salesforce

AI focus

Capture and structure network engineers’ diagnostic reasoning as training data, then evaluate its impact on model benchmarks and autonomous network management.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)