Description
NVIDIA's AI Infrastructure Engineers build systems, tooling, and data infrastructure for GPU cloud services. This role involves creating automated, intelligence-driven systems to protect NVIDIA's critical AI platforms.
Responsibilities:
Telemetry
- Develop scalable telemetry pipelines for metrics, logs, traces, and events across various clusters.
- Establish common patterns for instrumentation, collection, storage, and access.
- Deliver dashboards, alerting, and analysis capabilities for better service visibility and troubleshooting.
Operational Excellence
- Standardize and automate incident, maintenance, and support workflows.
- Integrate operational data and lifecycle signals to enhance ownership and post-incident learning.
- Build reporting and AI-assisted tooling to reduce manual tasks.
Cataloging and Inventory
- Maintain physical hardware and software catalogs as trusted sources of truth.
- Create consistent data models and integration pipelines.
- Provide self-service discovery capabilities for engineers.
Requirements:
- BS degree in Computer Science, Computer Engineering, or a related field.
- 8+ years of experience in infrastructure security, platform engineering, or security tooling.
- Proficiency in programming languages like Python, Go, Typescript, or Java.
- Strong understanding of software and infrastructure principles.
- Ability to lead cross-functional initiatives.
Preferred Qualifications:
- Experience with incident-management processes and SaaS tools.
- Familiarity with building, deploying, and maintaining ML models.
- Experience with modern observability platforms.
- Knowledge of service catalog and configuration management databases (CMDB).
NVIDIA offers equity and benefits.