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CoreWeave Posted 30+ days ago

Senior Software Engineer - AI Infrastructure Performance Insights & Observability

Location

San Francisco

Contract

Permanent

Full-time

Salary

$182–242k

Gross per year

Experience

5+ years

Senior level

Job summary

Responsibilities

We're looking for a Senior Engineer to be a driving force on CoreWeave's Benchmarking & Performance team, with a focus on building the performance insights and observability systems that make our AI infrastructure legible at every layer, from individual GPUs and NVLink/InfiniBand fabrics up…

  • Performance Insights & Observability - Design and build the systems that continuously assess AI infrastructure health and performance: GPU utilization and efficiency…
  • Time-Series & Metrics Infrastructure - Own and extend our time-series database (TSDB) layer as the backbone of real-time observability.
  • Fabric & GPU Telemetry - Build and validate the pipelines and metrics that make network fabric and GPU-level behavior observable and comparable across racks, clusters, and…
  • Data Lake Architecture (in support of insight work) - Design and build the performance data lake that underpins the above: table formats (Apache Iceberg, Parquet, Avro), hot/cold…
  • Query Optimization & Performance - Profile and tune query engines against columnar and time-series stores so that the observability layer meets its own strict P99 latency and…

What they're looking for

  • 5+ years of experience building distributed systems, observability platforms, or performance engineering tooling, ideally for infrastructure or ML systems rather than…
  • Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems, GPU infrastructure, and performance analysis.
  • Hands-on experience with Kubernetes at production scale, CI/CD, and observability stacks (Prometheus, Grafana, OpenTelemetry) used to monitor and diagnose infrastructure, not…
  • Working knowledge of time-series databases and fluency in PromQL or MetricsQL for building real-time alerting and anomaly detection, not only historical dashboards.
  • Familiarity with data lake architectures and modern table formats (Iceberg, Parquet, Avro) sufficient to support an insights platform, though this is not the primary skill this…

Tech stack

Read the full job posting

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