Senior AI Infra Engineer — Telemetry & ML Ops Equity

NVIDIA; Durham (NC); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking AI Infrastructure Engineers to design and operate the telemetry, on-prem and cloud infrastructure that powers our GPU cloud services. You will build scalable pipelines, standardize instrumentation, and maintain catalogs while collaborating across engineering, product, finance, and security to drive reliability and fast incident response.

The role emphasizes building observability platforms, incident management processes, and end-to-end data infrastructure to support NVIDIA's AI

Qualifications

• BS degree or equivalent experience in a technical field.
• 8+ years of infrastructure platform engineering or tooling.
• Proficiency in Python, Go, Typescript, or Java.
• Ability to lead cross-functional initiatives spanning multiple teams and disciplines.

Responsibilities

• Build and operate scalable telemetry pipelines for metrics, logs, traces, and events across on-premise, CSP, and NCP clusters.
• Standardize and automate incident, maintenance, and on-call workflows across HWInf.
• Build and maintain physical hardware and software catalogs as trusted sources of truth for infrastructure inventory and documentation.

Skills

Python

Go

Typescript

Java

Education

BS degree in Computer Science or Computer Engineering or related field

Job description

NVIDIA is seeking AI Infrastructure Engineers to design and operate the telemetry, on-prem and cloud infrastructure that powers our GPU cloud services. You will build scalable pipelines, standardize instrumentation, and maintain catalogs while collaborating across engineering, product, finance, and security to drive reliability and fast incident response.

The role emphasizes building observability platforms, incident management processes, and end-to-end data infrastructure to support NVIDIA's AI