Senior SRE — Scale AI Systems, Equity Eligible

NVIDIA AI; Santa Clara (CA); On-site; USD 168,000 - 334,000; Full time

Job summary

NVIDIA is seeking an experienced Site Reliability Engineer to lead the strategy and architecture of large-scale, enterprise-grade systems. You will design resilient distributed architectures powering NVIDIA’s AI-driven products and collaborate across Cloud, Platform, Security, and AI/ML teams to ensure high availability.

The role emphasizes automation, observability, and mentoring engineers to uphold reliability and performance across complex environments.

Qualifications

• 10+ years in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.
• BS degree in Computer Science or a related technical field involving coding, or equivalent experience.
• Strong proficiency in Python, Typescript, JavaScript, or Go, with a focus on automation and infrastructure-as-code.
• Experience with infrastructure-as-code such as AWS CDK, AWS CloudFormation, Terraform or CrossPlane.
• Solid understanding of OpenTelemetry or other Observability implementation at scale.
• Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP).
• Outstanding problem-solving, communication, and teamwork skills, with the ability to influence across technical and interpersonal boundaries.

Responsibilities

• Lead the technical strategy and roadmap for large-scale SRE initiatives that improve reliability, scalability, and developer productivity across enterprise systems.
• Design, and build resilient distributed systems that power NVIDIA’s next-generation AI-driven enterprise products and services.
• Architect and develop AI Agents, AI Skills to accelerate platform operations.
• Drive automation and observability improvements, using metrics and analytics to enhance performance, reliability, and efficiency.
• Collaborate across Cloud, Platform, Security, and AI/ML teams to implement modern SRE components that ensure high availability and secure operations.
• Analyze and troubleshoot complex systems, championing best practices in system design, incident management, and postmortem analysis.
• Mentor and influence engineers across teams, fostering technical excellence and a culture of reliability engineering.

Skills

Python

Typescript

JavaScript

Go

Automation

Education

BS in Computer Science or related field

Tools

Kubernetes

AWS CDK

CloudFormation

Terraform

CrossPlane

Job description

NVIDIA is seeking an experienced Site Reliability Engineer to lead the strategy and architecture of large-scale, enterprise-grade systems. You will design resilient distributed architectures powering NVIDIA’s AI-driven products and collaborate across Cloud, Platform, Security, and AI/ML teams to ensure high availability.

The role emphasizes automation, observability, and mentoring engineers to uphold reliability and performance across complex environments.