NVIDIA Corporation

Senior Site Reliability Engineer - Cloud

NVIDIA Corporation$168K — $264K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • MS or BS in Computer Science/Engineering or related field, or equivalent experience
  • 8+ years’ experience in live-site production environments
  • Strong knowledge of Kubernetes and cloud-native automation
  • Proficient in Python scripting and development for operational automation
  • Experience with incident management processes in technical operations

Responsibilities

  • Build and deploy dynamic URL redirects for marketing efforts
  • Configure Akamai Cloudlets for SEO-friendly paths
  • Provide on-call support for production applications and incident resolution
  • Author and activate Cloudlet Policies via Akamai Policy Manager
  • Maintain custom match criteria for efficient content delivery
  • Address user-reported issues in the Digital Marketing ecosystem
  • On-board new applications and services on AWS Infrastructure
  • Implement monitoring and alerts for service impact detection

Benefits

  • Comprehensive benefits package for employees and families
  • Opportunities for equity participation
  • Access to cutting-edge technology and innovative projects
  • Collaborative work environment with skilled professionals
  • Regular training and upskilling opportunities
Full Job Description
Are you ready to be part of something outstanding? NVIDIA's Digital Marketing Organization seeks a senior Site Reliability Engineer (SRE) to join our Santa Clara, CA team. As an SRE at NVIDIA, you will have a meaningful role in keeping our Digital Marketing Services reliable, fast, and efficient. You'll use innovative technology and work alongside skilled professionals who continuously explore new possibilities. What you'll be doing: • Build and deploy large-scale dynamic URL redirects using Akamai Edge Redirector Cloudlets for promotional efforts and site migrations. • Configure Akamai Forward Rewrite Cloudlets to map inbound requests to SEO-friendly paths. • Provide on-call support for production-grade applications, responding to incidents, prioritizing issues, and driving resolution across deployment pipelines, Akamai CDN, WAF, and cloud infrastructure. • Author, test, and activate shared and non-shared Cloudlet Policies via the Akamai Cloudlets Policy Manager. • Maintain custom match criteria — including Geo, Device Characteristics, RegEx, and Query Strings — to ensure efficient origin offload and intelligent content delivery. • Quickly identify and address user-reported problems throughout the Digital Marketing Organization ecosystem. • On-board new applications, AI/ML services, and model endpoints on AWS Infrastructure. • Implement monitors, alerts, and SOPs to ensure early detection and accurate response to service-impacting issues, including tracking model drift and inference latency. What we need to see: • MS or BS in Computer Science/Engineering or a related field, or equivalent experience. • 8+ years’ experience supporting technical operations in a live-site production environment with a real passion for CDN automation, tooling, and infrastructure supporting AI applications. • Strong knowledge of the Kubernetes Platform, deployments, and cloud-native automation. • Proven strengths in problem-solving and root-causing issues, while continuously seeking ways to drive optimization, efficiency, and the bottom line. • Advanced level experience with scripting and development in Python, fully automating operational steps with “one-click” rapid solutions. • Key participation in the incident management process for early recognition of all service-impacting issues, accurate triage, partner communication, impact containment, service restoration, and post-incident follow-up. SRE On call experience is a must. Ways to stand out from the crowd: • Strong Akamai CDN Support skills and deep understanding of edge computing/edge AI. • Solid experience with the AWS Cloud Platform and Kubernetes as a platform. SRE on-call experience. • Hands-on experience deploying and scaling Generative AI/LLM applications, integrating vector databases, or managing GPU-accelerated infrastructure. • Excellent communication, presentation, and analytical skills; the ability to communicate sophisticated infrastructure and AI concepts clearly across different audiences and varying levels of the organization. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and . Applications for this job will be accepted at least until August 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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