Overview:
In this role, you will build scalable telemetry and observability systems to support NVIDIA’s AI platforms. You will collaborate with cross‑functional teams to standardize instrumentation, automate incident workflows, and maintain trusted catalogs of infrastructure. You’ll develop AI‑assisted tooling to reduce manual toil and improve operational responsiveness, enabling faster troubleshooting and reliable service delivery. With a focus on production systems and platform reliability, you help drive scalable, observable infrastructure that powers cutting‑edge AI workloads. Compensation / Benefits equity benefits
Responsibilities:
Build and operate scalable telemetry pipelines for metrics, logs, traces, and events across on‑premise, CSP, and NCP clusters Standardize instrumentation and data access patterns for consistent telemetry usage Deliver dashboards, alerts, and analysis to improve service visibility and troubleshooting Automate incident and on‑call workflows to improve ownership and post‑incident learning Develop reporting and AI‑assisted tooling to reduce manual toil and boost responsiveness Build and maintain physical hardware and software catalogs as trusted sources of truth for inventory and ownership Create data models and integration pipelines linking clusters, hardware, services, teams, and workflows Provide self‑service discovery so engineers quickly identify what they operate and who owns it
Key requirements:
BS degree in Computer Science, Computer Engineering, or related field or equivalent experience 8+ years in infrastructure security, platform engineering, or security tooling Proficiency in Python, Go, Typescript, or Java Strong understanding of software and infrastructure principles and production experience Ability to lead cross‑functional initiatives across engineering, product, finance, and security Cross‑functional leadership Collaboration and communication Problem solving and initiative Python Go Typescript