CoreWeave
Senior Software Engineer - AI Infrastructure Performance Insights & Observability
$182K–$242K
Sunnyvale, CA / Bellevue, WA +2 · Senior · Full-time · Posted Aug 13, 2026
- Location
- Sunnyvale, CA / Bellevue, WA
Bellevue, WA
Sunnyvale, California, United States - Experience
- 5+ years.
- Visa sponsorship
- Applicants must be a U.S. person, eligible to access export-controlled information without required export authorization, or eligible and reasonably likely to obtain the required export authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.
About the job
Builds observability and performance-insight systems that turn AI infrastructure telemetry into real-time signals for diagnosing GPU, network fabric, and distributed workload health and performance.
What you'll do
- Design anomaly detection, diagnosis, alerting, and time-series metrics systems across GPU fleets, network fabrics, and training and inference workloads.
- Build and optimize telemetry pipelines, time-series infrastructure, and performance data lake architecture to support real-time and historical analysis.
- Tune query performance and, secondarily, develop self-service reporting views for internal teams.
What they ask for
- 5+ years building distributed systems, observability platforms, or performance engineering tooling.
- Strong Python or Go coding skills and deep familiarity with networked systems, GPU infrastructure, and performance analysis.
- Production-scale Kubernetes, CI/CD, and observability stack experience, plus working knowledge of time-series databases and PromQL or MetricsQL.
- Comfort with GPU utilization, interconnect fabric health, and distributed training/inference performance; strong cross-functional communication.
Nice to have
- Experience with time-series databases, LSM-based storage engines, custom telemetry pipelines, or large GPU fleet benchmarking and monitoring.
- Experience with MLPerf or similar audited benchmarks, relevant OSS contributions, CUDA, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies.
Pay
$182,000 to $242,000 USD base salary
Tools
Python, Go, C++, Kubernetes, Prometheus, Grafana, OpenTelemetry, PromQL
AI focus
Develops performance observability for AI infrastructure, including GPU telemetry and distributed training and inference workloads.
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