Senior AI Infra Engineer — Telemetry & Observability

Nvidia Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity and benefits

Job summary

NVIDIA is seeking AI Infrastructure Engineers to build and operate telemetry pipelines, instrumentation, dashboards, and AI-assisted tooling that enhance reliability of our GPU cloud platforms. You will standardize incident workflows, integrate operational signals, and lead cross-functional initiatives across engineering, product, finance, and security.

The role emphasizes production-grade infrastructure security, scalable observability, and cataloging of hardware and software assets.

Qualifications

• BS degree in CS/CE or related field or equivalent experience.
• 8+ years of infrastructure security, platform engineering, or security tooling experience.
• Proficiency in Python, Go, TypeScript, or Java.
• Strong understanding of software and infrastructure principles with production experience.
• Ability to lead cross-functional initiatives across engineering, product, finance, and security.

Responsibilities

• Build and operate scalable telemetry pipelines for metrics, logs, traces, and events across on-premise, CSP, and NCP clusters.
• Establish common instrumentation, collection, storage, and access patterns for consistent telemetry.
• Deliver dashboards, alerting, and analysis capabilities for improved visibility, detection, and troubleshooting.
• Standardize and automate incident, maintenance, service on-call, and support on-call workflows.

Skills

Python

Go

TypeScript

Java

Cross-functional leadership

Infrastructure security

Education

BS degree in Computer Science or Computer Engineering

Job description

NVIDIA is seeking AI Infrastructure Engineers to build and operate telemetry pipelines, instrumentation, dashboards, and AI-assisted tooling that enhance reliability of our GPU cloud platforms. You will standardize incident workflows, integrate operational signals, and lead cross-functional initiatives across engineering, product, finance, and security.

The role emphasizes production-grade infrastructure security, scalable observability, and cataloging of hardware and software assets.