Senior AI Infra Engineer — Telemetry & Observability

NVIDIA Corporation; United States; Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking AI Infrastructure Engineers to build scalable telemetry, data pipelines, and tooling to support its GPU cloud services. You’ll standardize instrumentation, design self-service discovery, and deliver observability across on-premise, CSP, and NCP environments.

Expect collaboration across engineering, product, security, and operations to enhance reliability and performance. The role emphasizes production readiness, data-driven decision making, and continuous learning.

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

• Telemetry 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.
• Operational Excellence 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.
• Cataloging and Inventory 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

Cross-functional leadership

Infrastructure security

Platform engineering

Security tooling

Education

BS degree in Computer Science or related field

Job description

NVIDIA is seeking AI Infrastructure Engineers to build scalable telemetry, data pipelines, and tooling to support its GPU cloud services. You’ll standardize instrumentation, design self-service discovery, and deliver observability across on-premise, CSP, and NCP environments.

Expect collaboration across engineering, product, security, and operations to enhance reliability and performance. The role emphasizes production readiness, data-driven decision making, and continuous learning.