Staff AI Telemetry Engineer

Job Summary

To architect the "nervous system" of the AI-native NeoCloud platform, the full-time Staff AI Observability & Telemetry Engineer will build a high-fidelity telemetry infrastructure that captures and analyzes millions of hardware and software signals per second, enabling real-time performance insights for GPU workloads and network fabric.

Key Responsibilities

• Architect and scale a high-cardinality telemetry infrastructure using time-series databases capable of handling massive ingestion rates
• Integrate complex hardware-level exporters into the Kubernetes observability stack for a unified view of the cluster
• Develop automated dashboards and alerting pipelines to proactively manage degraded hardware impacting customer jobs

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
• 6+ years of software or site reliability engineering experience, with expertise in the Prometheus/OpenTelemetry ecosystem
• Advanced proficiency in Go and experience writing custom Kubernetes metric exporters
• Hands-on experience with kernel-level tracing tools (eBPF, BCC) and performance tuning of Linux systems
• Strong familiarity with AI hardware metrics and high-performance network telemetry