Senior DevOps and Automation Engineer, Fabric Networking - GPU

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

Job summary

Join a dynamic team of engineers at a leading technology firm, where you'll drive innovation in AI and HPC. As a Senior DevOps and Automation Engineer, you'll streamline the development of large-scale GPU clusters, enhancing performance and reliability. Your expertise in scripting, automation, and CI/CD will be crucial in supporting cutting-edge workloads. This role offers the chance to work with advanced technologies and collaborate with talented professionals across the globe, making a significant impact in the world of high-performance computing.

Benefits

Equity options

Comprehensive health benefits

Flexible working hours

Professional development opportunities

Qualifications

• 5+ years managing clusters and servers.
• Strong scripting skills with Python and Ansible.
• Experience with CI/CD pipelines and Linux systems.

Responsibilities

• Drive CI/CD workflows for large-scale environments.
• Design automation tools for GPU cluster management.
• Collaborate with teams across multiple time zones.

Skills

Scripting with Python

Automation with Ansible

Shell scripting

CI/CD pipeline development

Linux systems knowledge

Networking and distributed systems

Cross-functional communication

Education

BS in Computer Science

MS in Computer Engineering

Tools

Ansible

Prometheus

Grafana

Job description

Senior DevOps and Automation Engineer, Fabric Networking - GPU

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.

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.

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.

About the company

9637389 Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California.