Staff Engineer, Network Observability

About the role

CoreWeave is seeking a technical leader to architect and maintain visibility into our high-performance AI cloud network. You will design systems that monitor complex traffic patterns and infrastructure health to ensure our GPU clusters operate at peak efficiency.

Key facts

What you'll do

• Architect and implement observability solutions for large-scale AI cloud networking environments.
• Build tools to monitor and analyze network performance, latency, and packet flow across distributed data centers.
• Develop automated systems for detecting and diagnosing network anomalies in real time.
• Collaborate with engineering teams to improve the reliability and transparency of our infrastructure.
• Establish standards for data collection and visualization to support fleet-wide operations.

Requirements

• Extensive experience in network engineering or observability within a large-scale cloud environment.
• Proficiency in designing and managing monitoring stacks for high-throughput distributed systems.
• Deep understanding of networking protocols and traffic analysis.
• Proven ability to lead technical initiatives and mentor engineering staff.

Nice to have

• Experience with Kubernetes-based networking and observability tools.
• Background in building custom telemetry pipelines for massive GPU-compute clusters.

Skills & tools

• Network monitoring and diagnostic frameworks
• Distributed systems architecture
• Cloud infrastructure observability
• Data visualization and alerting systems

Practical notes

CoreWeave provides purpose-built infrastructure for AI and high-performance computing. Applicants should be prepared to work in a fast-paced environment focused on scaling AI workloads. Please submit your application via the CoreWeave careers portal.