Senior AI Infra Engineer — Equity Eligible, Scale Telemetry

NVIDIA

California (MO)

On-site

USD 184,000 - 357,000

Full time

42 hours ago

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Job summary

NVIDIA is seeking an experienced AI Infrastructure Engineer to build and operate telemetry pipelines, data models, and observability tooling for our GPU cloud ecosystem. You will work across on-prem, CSP, and NCP environments to standardize instrumentation and deliver actionable dashboards and alerts.

The role emphasizes leadership across engineering, product, and security teams, with a focus on reliability and automation.

Qualifications

BS degree in Computer Science, Computer Engineering, or related field, or equivalent experience.
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, 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.