Technical Support Engineer, Linux and HPC Admin - DGX Cloud

Sorry, this job was removed at 08:11 p.m. (CST) on Friday, May 30, 2025
2 Locations
In-Office or Remote
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 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 is used to power thousands of clusters worldwide, varying from a few to several thousands of nodes, and streamlining 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! The Technical Support Engineer in this role will significantly impact and contribute to the overall success of our customers running their clusters with the NVIDIA solution.

What you’ll be doing:

  • Provide support to our customers for our Linux-based cluster management software product, ensuring customers get the help they require to support their clusters.

  • Collaborate with the development team to get the right information and to raise support tickets to the appropriate development team.

  • Become and serve as a subject-matter expert in any one of a number of areas.

  • Research and development tasks for customers or for internal use by our development team.

  • Work with the latest hardware (e.g. GPUs, FPGAs, AI accelerators, high-speed interconnects such as InfiniBand, Omni Path, and Gig-E) and software technologies such as parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO), Jupyter, various ML frameworks and tools, Spark, Kubernetes, and Ceph.

What we need to see:

  • BS degree or equivalent experience in Electrical Engineering or related field.

  • 5 years of relevant, aligned experience, ideally in a customer facing role.

  • Proven research skills and interest in assisting customers to achieve their goals.

  • Experience in a technical customer-facing role.

  • Eagerness to learn and become an authority of our product.

  • Excellent written communication skills with the ability to easily convey complex technical information to consumable summaries.

  • In-depth knowledge of Linux.

  • Familiarity with typical Linux installations and their most common software elements.

Ways to stand out from the crowd:

  • Experience with high-performance computing and system administration would be an asset

The base salary range is 108,000 USD - 201,250 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.

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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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