Senior AI Infra Performance & Observability Engineer

Coreweave; United States; On-site; USD 182,000 - 242,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Flexible PTO

Tuition Reimbursement

ESPP

Parental Leave

Lunch provided in office

Job summary

CoreWeave is seeking a Senior Engineer for the Benchmarking & Performance team to build observability and insight tooling across GPU fleets and fabrics. You will transform billions of telemetry events into real-time performance insights for engineers, product teams, and executives.

Lead the design of the data lake and time-series stack, ensuring sub-second responses during live incidents. Collaborate across hardware and workloads to drive performance intelligence at scale.

Qualifications

• 5+ years of experience building distributed systems, observability platforms, or performance engineering tooling.
• Strong coding in Python or Go; familiarity with GPU infrastructure is a plus.
• Hands‑on experience with Kubernetes at production scale, CI/CD, and observability stacks.
• Fluency in PromQL/MetricsQL for real-time alerting and anomaly detection.
• Knowledge of time-series databases and modern table formats (Iceberg, Parquet, Avro).

Responsibilities

• Design and build systems that assess AI infrastructure health and performance.
• Own time-series data layer; optimize PromQL/MetricsQL queries for alerting and analysis.
• Develop telemetry pipelines for GPU fabric and distributed training workloads.
• Design data lake components (Iceberg, Parquet, Avro) to support insights.
• Profile and tune query engines for low latency and SLAs.
• Build and, if needed, support BI/Reporting views (Grafana/Looker).

Skills

Distributed systems

Observability tooling

Python/Go

Kubernetes

PromQL

Time-series databases

Education

Bachelor’s degree in CS/CE or related field

Tools

Prometheus

Grafana

OpenTelemetry

Iceberg

Parquet/Avro

Job description

CoreWeave is seeking a Senior Engineer for the Benchmarking & Performance team to build observability and insight tooling across GPU fleets and fabrics. You will transform billions of telemetry events into real-time performance insights for engineers, product teams, and executives.

Lead the design of the data lake and time-series stack, ensuring sub-second responses during live incidents. Collaborate across hardware and workloads to drive performance intelligence at scale.