Senior AI Infrastructure Engineer - EDA Infrastructure

NVIDIA Corporation; Durham (NC); Presencial; USD 190.000 - 360.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Benefits

Descripción de la vacante

NVIDIA Corporation is seeking AI Infrastructure Engineers in Durham to build scalable telemetry pipelines, automate incidents, and maintain comprehensive hardware/software catalogs. The role blends product, infrastructure, and software engineering to deliver observable, AI-driven infrastructure for NVIDIA’s GPU cloud services.

Applicants should have a BS degree in a related field, 8+ years in infrastructure engineering, and proficiency in Python, Go, TypeScript, or Java.

Formación

• BS degree in Computer Science, Computer Engineering, or related technical field, or equivalent experience.
• 8+ years of infrastructure platform engineering experience.
• Proficiency in Python, Go, TypeScript, or Java.
• Strong understanding of software and infrastructure principles in production environments.
• Ability to lead cross-functional initiatives across engineering, product, finance, and security.

Responsabilidades

• Build and operate scalable telemetry pipelines for metrics, logs, traces, and events across clusters.
• Automate incident response, maintenance, on-call workflows, and post-incident learning.
• Create catalogs and data models to connect clusters, hardware, services, and teams.

Conocimientos

Python

Go

TypeScript

Java

Educación

BS degree in CS or related field

Herramientas

CMDB

Descripción del empleo

AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable operation of our GPU cloud services. We are enabling engineering teams to innovate while proactively identifying, tracking, and mitigating risks across the entire technical task. This role is ideal for engineers who thrive at the intersection of product, infrastructure, and software engineering and who want to build automated, intelligence-driven systems that protect NVIDIA’s most critical AI platforms.

What you’ll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• Experience building and operating incident‑management processes with internally built and/or externally vended SaaS tools
• Experience working with building, deploying, and maintaining ML models in production systems along with familiarity with AI agent frameworks or orchestration tools
• Experience building and operating modern observability platforms to deliver scalable metrics, logs, traces, and profiling
• Experience working with service catalog and configuration management databases (CMDB)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 13, 2026.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.