Senior Site Reliability Engineer, BCM - DGX Cloud

Posted Yesterday
2 Locations
In-Office or Remote
168K-334K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Site Reliability Engineer will manage deployments, operations, and incident handling for large-scale AI GPU platforms while ensuring high performance and resilience in configurations.
Summary Generated by Built In

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for over 25 years. It’s a unique legacy of innovation fueled by great technology—and dynamic people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

NVIDIANS immerse themselves in a diverse, supportive environment that encourages everyone to do their best work. Join the team and see how you can make a lasting impact on the world. NVIDIA Base Command Manager powers thousands of clusters worldwide, varying from a few to several thousands of nodes, and streamlines cluster provisioning, workload management, and infrastructure monitoring. It provides all the tools you need to deploy and run an AI data center. We take great pride in providing excellent, comprehensive support to our customers! ​Sr Site Reliability Engineer in this role will significantly impact and contribute to the overall success of both external customers running their clusters with NVIDIA solutions AND internal clusters used for research, operations, and next-generation projects.

What you’ll be doing:

  • Contributing to deployments and daily operations of large scale next-generation GPU platforms

  • Handling incidents in GPU clusters, bridging the gap between cluster operations and development

  • Designing and implementing small features in the Base Command Manager product to become intimately familiar with the workings of the product

  • Validating complex cluster configurations including Slurm and Kubernetes orchestrators for performance, scalability and resilience, ensuring they meet real-world customer scenarios.

What we need to see:

  • Bachelor's Degree or equivalent experience in Computer Science or related field.

  • 8+ years of experience in site reliability engineering and/or software development roles.

  • Fluency in Python

  • In-depth knowledge of Linux and networking

Ways to stand out from the crowd:

  • Experience with C++, high-performance computing, Kubernetes and/or system administration would be an asset

  • Previous experience as a system admin running BCM/Bright Cluster Manager/Base Command Manager clusters is a definite plus.

  • Proficiency with cluster networking including InfiniBand and Spectrum-X

NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, 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 168,000 USD - 270,250 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 31, 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.

Top Skills

C++
Kubernetes
Linux
Python
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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.”

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