NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
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 www.nvidiabenefits.com/
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 benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- MS or BS in Computer Science/Engineering or equivalent experience
- 8+ years supporting technical operations in a live-site production environment
- Strong knowledge of the Kubernetes platform, deployments, and cloud-native automation
- Advanced scripting and development in Python with automation of operational steps
- SRE on-call experience and participation in incident management processes
- Experience onboarding applications and AI/ML model endpoints on AWS infrastructure
- Strong Akamai CDN support skills and deep understanding of edge computing/edge AI
- Hands-on experience deploying/scaling Generative AI/LLM apps, vector DBs, or GPU-accelerated infra
- Excellent communication, presentation, and analytical skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
