DevOps and Network Engineer - Air Platform Team

Sorry, this job was removed at 08:08 p.m. (CST) on Wednesday, Aug 06, 2025
Durham, NC
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation driven by extraordinary technology and amazing people. NVIDIA is looking for a highly motivated DevOps/Network 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:

  • Be part of the NVIDIA AIR team building the SaaS/IaaS platform for the digital twin of AI data centers.

  • Handle DevOps and Network Engineering requirements for AIR.

  • Focus on efficiency by automating repetitive workflows.

  • Work on microservices-based architecture.

  • Deploy and troubleshoot non-disruptive cloud operations with an emphasis on secure production infrastructure.

  • Help debug and improve network operations across the infrastructure.

  • Manage deployment/upgrades for Operating Systems, Kubernetes (k8s) clusters, and other orchestration tools.

  • Provide day-to-day support for engineering activities with CI/CD tools like Git and Jenkins.

  • Efficiently multi-task across different tracks to address evolving priorities.

What we need to see:

  • BS degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

  • 4+ years of experience in complex microservices-based architectures.

  • Expertise in automation with hands-on skills in Ansible, Python, and Shell Scripting.

  • Proficiency in Kubernetes, Docker, QEMU, and Libvirt.

  • Experience in IaaS environments, including deploying, configuring, and administering Linux-based bare metal servers.

  • Deep experience in infrastructure engineering, focused on managing and monitoring a highly available production infrastructure.

  • Strong networking background (TCP/UDP, VLANs, routing, VPNs).

  • Experience with modern deployment architecture for non-disruptive cloud operations, including blue-green and canary rollouts.

  • Deep knowledge of AWS.

Ways to stand out from the crowd:

  • Background with AWS deploying multifaceted, load-balanced, and highly available workloads.

  • Experience with relational databases (MySQL) and SQL.

  • Proficiency in debugging network issues in both infrastructure and SDN.

  • Experience with Prometheus/Grafana.

  • Implemented robust metrics collection and alerting infrastructure.

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse 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.

Similar Jobs

Datadog Logo Datadog

Sales Executive

Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Easy Apply
Remote or Hybrid
North Carolina, USA
6500 Employees
125K-150K Annually

InterSystems Logo InterSystems

Account Executive

Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Database • Analytics
Easy Apply
In-Office or Remote
17 Locations
2407 Employees
145K-170K Annually

CrowdStrike Logo CrowdStrike

Principal Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
37 Locations
10000 Employees
195K-290K Annually

NinjaOne Logo NinjaOne

Marketing Manager

Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Remote or Hybrid
17 Locations
2000 Employees
100K-140K Annually
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

Similar Companies Hiring

Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees
Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account