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About the Role
AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable operation of our GPU cloud services. 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.
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 for consistent telemetry generation and consumption.
- Deliver dashboards, alerting, and analysis capabilities to improve service visibility, detection, and troubleshooting.
- Standardize and automate incident, maintenance, service on-call, and support on-call workflows.
- Integrate operational data and lifecycle signals to improve ownership, escalation, communication, and post-incident learning.
- Build reporting and AI-assisted tooling to reduce manual toil and improve 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 connecting clusters, hardware, services, teams, and operational workflows.
- Provide self-service discovery capabilities for engineers to quickly identify operated systems, ownership, and support information.
Requirements
- 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
- Incident management processes
- Building, deploying, and maintaining ML models in production systems
- AI agent frameworks or orchestration tools
- Building and operating modern observability platforms
- Scalable metrics, logs, traces, and profiling
- Service catalog and configuration management databases (CMDB)
Location
- Remote
Work Type
- Full-time
Experience Level
- 8+ years
Education Level
- BS degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
Salary/Compensations
- 184,000 USD – 287,500 USD for Level 4
- 224,000 USD – 356,500 USD for Level 5
Benefits
- Equity
- Benefits
About the Company
- NVIDIA is widely considered to be one of the technology world’s most desirable employers.
- We have some of the most forward-thinking and hard-working people in the world working for us.
- NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization.
- The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
- NVIDIA uses AI tools in its recruiting processes.
Equal Opportunity
- 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.