Senior DevOps and Automation Engineer, Fabric Networking - GPU

NVIDIA; United States; On-site; USD 144,000 - 271,000; Full time

Job summary

NVIDIA seeks a Senior DevOps and Automation Engineer to enhance GPU cluster operations through innovative CI/CD workflows and automation tools. The role involves collaborating across teams to ensure efficient deployment and maintenance of software in AI-driven environments. Candidates should possess a strong background in scripting, networking, and software infrastructure management, with a bias towards automation excellence.

Qualifications

• 5+ years of experience managing clusters, servers, and networking infrastructure.
• Understanding of modern design patterns and strategies for migrating legacy code.
• Experience with Slurm or similar workload/resource managers is a plus.

Responsibilities

• Drive CI/CD workflows and enhance release management through automation.
• Design and develop tools for deploying and maintaining large GPU clusters.
• Own and resolve operational issues, ensuring high availability of GPU clusters.

Skills

Scripting

Automation

CI/CD

Networking

Troubleshooting

Education

BS/MS in Computer Science, Computer Engineering, or Electrical Engineering

Tools

Ansible

Python

Shell

Job description

Senior DevOps and Automation Engineer, Fabric Networking - GPU

Join to apply for the Senior DevOps and Automation Engineer, Fabric Networking - GPU role at NVIDIA

Senior DevOps and Automation Engineer, Fabric Networking - GPU

Join to apply for the Senior DevOps and Automation Engineer, Fabric Networking - GPU role at NVIDIA

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from NVIDIA

Sr. Technical Recruiter @ Nvidia (CUDA, DGX & Cloud Computing SW, Autonomous Vehicles, AI/DL/ML)

NVIDIA is leading the way in groundbreaking 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. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

Join our team of innovative engineers who develop and maintain software facilitating GPU communication, driving groundbreaking solutions in High Performance Computing and Deep Learning. We are seeking a DevOps and Automation Engineer to join our dynamic software infrastructure team. In this role, you will help streamline the development and operation of large-scale GPU clusters connected via NVLink and InfiniBand, supporting some of the most advanced workloads in HPC and AI.

What You’ll Be Doing

• Drive robust CI/CD workflows to support continuous integration, build, and deployment processes across large-scale environments.
• Streamline and enhance release management through strategic automation, orchestration, and intelligent dependency handling.
• Improve development velocity by decoupling applications and enabling independent release cadences
• Design and develop automation tools for deploying, provisioning, and maintaining large GPU clusters interconnected via NVLink and InfiniBand.
• Implement modern DevOps technologies to automate software updates, perform system maintenance, and monitor cluster health and availability.
• Own and resolve daily operational issues in GPU clusters, ensuring high availability and performance through proactive troubleshooting.
• Manage seamless software and firmware rollouts and rollbacks across cluster infrastructure, minimizing disruptions.
• Collaborate across dynamic engineering and product teams in multiple time zones to align cluster operations with project goals and timelines.
  
  

What We Need To See

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 5+ years of experience managing clusters, servers, and networking infrastructure.
• Strong scripting and automation skills with Ansible, Python, and Shell.
• Proven experience building enterprise-grade CI/CD pipelines.
• Understanding of modern application design patterns, including strategies for migrating and decoupling legacy code.
• Solid understanding of Linux systems, networking, and distributed system design.
• Strong cross-functional communication and collaboration skills.
  
  

Ways To Stand Out From The Crowd

• Experience with Slurm or similar workload/resource managers.
• Hands-on experience with NVIDIA DGX systems and GPU-based compute clusters.
• Familiarity with building metrics and alerting systems (e.g., Prometheus, Grafana). Demonstrated leadership in DevOps process improvement and team productivity initiatives.
  
  

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. NVIDIA is leading the way in groundbreaking 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. If you're creative and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking 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.

The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.

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.

JR1997185

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing

Referrals increase your chances of interviewing at NVIDIA by 2x

Sign in to set job alerts for “Senior Automation Engineer” roles.

United States $168,700.00-$253,100.00 7 hours ago

United States $168,700.00-$253,100.00 1 hour ago

Georgia, United States $55,000.00-$75,000.00 3 hours ago

District of Columbia, United States $102,000.00-$170,000.00 2 hours ago

North Carolina, United States $55,000.00-$75,000.00 3 hours ago

United States $65,000.00-$70,000.00 1 week ago

Florida, United States $55,000.00-$75,000.00 3 hours ago

Associate Director of Strategic Operations

United States $160,000.00-$170,000.00 4 hours ago

Sr. GenAI Automation Specialist ____ Remote ___ Contract

San Francisco Bay Area $191,400.00-$307,000.00 2 hours ago

Indiana, United States $55,000.00-$75,000.00 3 hours ago

e-Service Chat Representative - 100% Remote

Software Test Engineer, Payroll Compliance

United States $191,400.00-$307,000.00 2 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.