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. An era where our GPU serves as the intelligence behind computers, robots, and autonomous vehicles that perceive 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.
We are looking for an outstanding SRE to join its Digital Marketing Organization. SREs are responsible for ensuring that all of NVIDIA’s Digital Marketing Services are reliable, fast, and efficient, all the time. The person in this position will be responsible for the leading and improving AWS Infrastructure, scripting. The SRE or equivalent experience will have all current tools and software ready to monitor the Platform and Services closely. They will help develop or improve new monitoring and alerting tools, plan tests, update existing infrastructure, and further automate the deployment pipeline. The ideal candidate will respond quickly to urgent issues and outages worldwide, validate the deployment process, resolve problems in the field, and importantly, communicate the current status to both internal and external partners.
What you will be doing:
Quickly identify and categorize user-reported problems within the Digital Marketing Organization ecosystem.
On-board new applications, AI/ML services, and model endpoints on AWS Infrastructure.
Make meaningful contributions to the overall health, performance, and uptime of our services running in Linux and Windows.
Implement monitors, alerts, and SOPs to ensure early detection and accurate response to service-impacting issues, including tracking model drift and inference latency.
Take ownership of automating, scripting, and tooling of new/existing scripts to achieve 100% automation of daily tasks and ML CI/CD deployment pipelines.
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.
Build and implement large-scale dynamic URL redirects by applying Akamai Edge Redirector Cloudlets for marketing campaigns and site migrations.
Set up Akamai Forward Rewrite Cloudlets to redirect incoming requests to SEO-friendly URLs.
Develop, test, and deploy shared and non-shared Cloudlet Policies through the Akamai Cloudlets Policy Manager.
Maintain custom match criteria — including Geo, Device Characteristics, RegEx, and Query Strings — to guarantee efficient origin offload and smart content delivery.
What we need to see:
MS or BS in Computer Science/Engineering or a related field, or equivalent experience with 3+ years experience supporting technical operations in a live-site production environment and a real passion for automation, tooling, and infrastructure supporting AI applications.
Experience building and running critical production services or ML model serving frameworks (e.g., FastAPI, Triton, TorchServe) using Python or Java.
Strong knowledge of the Kubernetes Platform, deployments, and cloud-native automation.
Deep familiarity with MLOps frameworks and data pipelines (e.g., MLflow, Kubeflow, Airflow, or AWS SageMaker).
Make valuable contributions to the incident management process for early discovery 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.
Advanced level experience with scripting and development in Python, fully automating operational steps with “one-click” rapid solutions.
Proven strengths in problem-solving and root-causing issues, while continuously seeking ways to drive optimization, efficiency, and the bottom line.
Build and deploy large-scale dynamic URL redirects by applying Akamai Edge Redirector Cloudlets for marketing campaigns and site migrations.
Set up Akamai Forward Rewrite Cloudlets to redirect incoming requests to paths optimized for SEO and develop, test, and turn on shared and non-shared Cloudlet Policies using the Akamai Cloudlets Policy Manager.
Maintain custom match criteria — including Geo, Device Characteristics, RegEx, and Query Strings — to guarantee efficient origin offload and intelligent content delivery.
Ways to stand out from the crowd:
Extensive experience with 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.
Strong Akamai CDN Support skills and deep understanding of edge computing/edge AI.
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.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.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
- BS/MS in Computer Science/Engineering or equivalent experience with 3+ years supporting technical operations in a live-site production environment
- Experience building and running production services or ML model serving frameworks (FastAPI, Triton, TorchServe) using Python or Java
- Strong knowledge of Kubernetes platforms, deployments, and cloud-native automation
- Familiarity with MLOps frameworks and data pipelines (MLflow, Kubeflow, Airflow, AWS SageMaker)
- SRE on-call experience and incident management for production-grade services
- Advanced scripting and development in Python to fully automate operational steps and deployment pipelines
- Implement monitors, alerts, and SOPs, including tracking model drift and inference latency
- Provide on-call support for production applications, incidents, and drive resolution across deployment pipelines, Akamai CDN, WAF, and cloud infrastructure
- Experience building and managing Akamai Cloudlets (Edge Redirector, Forward Rewrite) and Cloudlets Policy Manager; maintain custom match criteria (Geo, Device, RegEx, Query Strings)
- Experience with Linux and Windows operating systems
- Experience with AWS infrastructure and services
- Hands-on experience deploying and scaling Generative AI/LLM applications, integrating vector databases, or managing GPU-accelerated infrastructure
- Strong Akamai CDN support skills and understanding of edge computing/edge AI
- 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.”
