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Nvidia Senior DevOps Automation Engineer Fabric Networking - GPU 
United States, Texas 
191083796

13.05.2025
US, CA, Santa Clara
US, Remote
time type
Full time
posted on
Posted 6 Days Ago
job requisition id

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.

You will also be eligible for equity and .