Senior AI Infra Engineer | Equity Eligible, Observability Focus

NVIDIA; Washington; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking AI Infrastructure Engineers to build systems and data infrastructure for GPU cloud services, enabling engineering teams to innovate while mitigating risks across technical tasks.

You will design telemetry pipelines, dashboards, and AI-assisted tooling, while standardizing incident response and lifecycle data integration across clusters and assets. A BS in a related field and 8+ years of infra experience are required.

Qualifications

• BS degree in Computer Science, Computer Engineering, or related technical field.
• 8+ years of experience in infrastructure platform engineering, or tooling.
• Proficiency in one or more programming languages such as Python, Go, TypeScript, or Java.
• Strong understanding of software and infrastructure principles.
• 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 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 technical field

Job description

NVIDIA is seeking AI Infrastructure Engineers to build systems and data infrastructure for GPU cloud services, enabling engineering teams to innovate while mitigating risks across technical tasks.

You will design telemetry pipelines, dashboards, and AI-assisted tooling, while standardizing incident response and lifecycle data integration across clusters and assets. A BS in a related field and 8+ years of infra experience are required.