# Senior AI infrastructure engineer - EDA Infrastructure

**Company**: NVIDIA
**Location**: Remote, CA, US
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-AI-infrastructure-engineer---Hardware-Infrastructure-Engineering_JR2024816?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_99ba12dd-a10

## 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.

## Skills

### Required
- Python
- Go
- Typescript
- Java
- software and infrastructure principles
- infrastructure security
- platform engineering
- security tooling

### Nice to have
- incident-management processes
- ML models
- observability platforms
- service catalog
- CMDB

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-AI-infrastructure-engineer---Hardware-Infrastructure-Engineering_JR2024816?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)