NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology —and amazing people. NVIDIA is looking for a highly motivated DevOps/SRE engineer to join the NVIDIA AIR team – the Digital Twin for Data Center Simulation web application. NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. To learn more, visit Nvidia Air.
What you'll be doing:
The person will be part of the NVIDIA AIR team that is building the SaaS/IaaS platform for digital twin of AI data centers.
The responsibility specifically is for infrastructure and Site Reliability Engineering (SRE) requirements for AIR.
Focus on efficiency by automating repetitive workflows.
Working on microservices based architecture.
Deploying and troubleshooting non-disruptive cloud operations with an emphasis on secure production infrastructure.
Continuous evaluation of existing system and driving improvements.
Managing deployment/upgrade for Operating Systems, Kubernetes(k8s) clusters and/or or other orchestration tools.
Day to day support for engineering activities with CI/CD tools like git, Jenkins.
Efficiently multi-tasking on the different tracks to efficiently address evolving priorities .
What we need to see:
BSc in Engineering/ Relevant Certifications/ equivalent experience.
5+ years of experience in complex microservices based architectures
Proven experience in best practices and discipline of managing and monitoring a highly available and secure production infrastructure
Experienced with latest Observabilty tools, Prometheous stack, Data Dog, etc
Experienced with modern deployment architecture for non-disruptive cloud operations including blue green and canary rollouts
Highly skilled in Kubernetes and Docker
Experience in IaaS environment - deploying, configuring, and administering Linux-based bare metal servers
Experience with relational databases(MySQL) and SQL.
Expert in AWS
Ways to stand out from the crowd:
Skills in Linux/Unix Administration
Experience with Prometheus/Grafana.
Experience with APM tools like Dynatrace, Datadog, AppDynamics, New Relic, etc.
Implemented robust metrics collection and alerting infrastructure
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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
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.
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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.”
