Staff Site Reliability Engineer, AI Platform Runtime

Nvidia

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Employment
Full-time
Posted
49 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $185k
$138k $248k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $148,550–$222,125.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Staff Site Reliability Engineer, AI Platform Runtime

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The Staff Site Reliability Engineer - AI Platform Runtime joins the Site Reliability Engineering team to lead technical strategy and roadmaps for large-scale, cross-functional initiatives. This role focuses on designing and building resilient distributed systems that power next-generation AI-driven enterprise products and services. Key responsibilities include architecting AI Agents and AI Skills to accelerate platform operations, driving automation and observability improvements, and troubleshooting complex systems. The position requires deep expertise in systems architecture, networking, Kubernetes, and public cloud services like AWS, Azure, or GCP. Candidates must demonstrate proficiency in Python, Typescript, JavaScript, or Go, alongside infrastructure-as-code tools such as AWS CDK, CloudFormation, Terraform, or CrossPlane. The work involves implementing modern SRE components to ensure high availability and secure operations across diverse enterprise systems.

What does a Site Reliability Engineer earn in California?

Median $202800 from 62 postings across 16 companies.

See salary data

Skills

Kubernetes Python Go Terraform AWS Azure GCP infrastructure-as-code OpenTelemetry TypeScript JavaScript AWS CDK AWS CloudFormation CrossPlane Distributed Systems Observability Networking AI/ML High-Performance Computing

What you'll do

  • Lead the technical strategy and roadmap for large-scale SRE initiatives to improve reliability and scalability.
  • Design and build resilient distributed systems for next-generation AI-driven enterprise products and services.
  • Architect and develop AI Agents and AI Skills to accelerate platform operations.
  • Drive automation and observability improvements using metrics and analytics to enhance system performance.
  • Implement modern SRE components across Cloud, Platform, Security, and AI/ML teams to ensure high availability.
  • Analyze and troubleshoot complex systems while leading incident management and postmortem analysis.
  • Mentor engineers across teams to foster technical excellence and a culture of reliability engineering.

What we're looking for

  • 10+ years of experience 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 programming languages such as 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.
  • Passion for and experience with Public Cloud or large-scale automation systems (preferred).

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