Senior AI Infrastructure Engineer Observability & Automation

NVIDIA Gruppe; California (MO); On-site; USD 184,000 - 356,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an AI Infrastructure Engineer to design and operate telemetry pipelines, standardize instrumentation, and deliver visibility across our GPU cloud services in the United States. You will build scalable telemetry, dashboards, and alerting while collaborating with hardware, software, and security teams to automate incident response and lifecycle signaling.

You’ll also catalog hardware and software assets, ensuring data models connect clusters, services, and owners for self-service

Qualifications

• BS degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
• 8+ years of experience in infrastructure security, platform engineering, or security tooling.
• Proficiency in one or more programming languages such as Python, Go, Typescript, or Java.
• Strong understanding of software and infrastructure principles, with experience applying them in production environments.
• Ability to lead cross-functional initiatives that span internal teams and external partners in varying disciplines 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 so teams can generate and consume telemetry consistently.
• Deliver dashboards, alerting, and analysis capabilities that improve service visibility, detection, and troubleshooting.
• Standardize and automate incident, maintenance, service on-call, and support on-call workflows across HWInf.
• Integrate operational data and lifecycle signals to improve ownership, escalation, communication, and post-incident learning.
• Build reporting and AI-assisted tooling that reduces manual toil and improves operational responsiveness.
• Build and maintain physical hardware and software catalogs as trusted sources of truth for infrastructure inventory, service ownership, dependencies, and documentation.
• Create consistent data models and integration pipelines that connect clusters, hardware, services, teams, and operational workflows.
• Provide self-service discovery capabilities so engineers can quickly identify what they operate, who owns it, and how to support it.

Skills

Python

Go

Typescript

Java

Education

BS degree in Computer Science, Computer Engineering, or related field

Tools

SaaS incident-management tools

AI agent frameworks

Orchestration tools

Observability platforms

CMDB

Job description

NVIDIA is seeking an AI Infrastructure Engineer to design and operate telemetry pipelines, standardize instrumentation, and deliver visibility across our GPU cloud services in the United States. You will build scalable telemetry, dashboards, and alerting while collaborating with hardware, software, and security teams to automate incident response and lifecycle signaling.

You’ll also catalog hardware and software assets, ensuring data models connect clusters, services, and owners for self-service