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Senior AI Infrastructure Engineer - EDA Infrastructure

NVIDIA· Engineer, Sys SW
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Hybrid (Remote / US, CA), Austin, TX, Westford, MA, Remote, Hybrid (Durham, NC)$184k - $287.5k + equityFull-timePosted 1mo ago

About the role

AI Infrastructure Engineers build systems, tooling, and data infrastructure to enable GPU cloud services, blending product, infrastructure, and software engineering to create automated, intelligence-driven systems that protect NVIDIA’s AI platforms.

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; Deliver dashboards, alerting, and analysis capabilities.
  • 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.

Qualifications

  • BS degree in Computer Science, Computer Engineering, or a related technical 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.

Skills

Required:ProgrammingTelemetry and ObservabilityInfra/platform engineering

Benefits

  • Equity
  • Benefits (see NVIDIA benefits)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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