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! The Technical Support 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:
Support our internal and external customers using our Linux-based cluster management software product, ensuring everyone receives the help they require to support their clusters.
Collaborate with the development team to collect the correct information and escalate issues to the appropriate development team.
Become and serve as a subject-matter expert in several areas, for several high-profile customers.
Research and development tasks for customers or internal use by our development team.
Participate in proactive discussions with internal stakeholders to ensure BCM best practices are widely communicated.
Work with the latest hardware (e.g. GPUs, AI accelerators, high-speed interconnects) and software technologies such as parallel filesystems (e.g. Lustre, GPFS, WekaIO), Jupyter, and various ML frameworks and tools, Spark, Kubernetes, and Ceph.
What we need to see:
BS degree or equivalent experience in Computer Science or related field.
5 years of relevant, aligned experience providing system adminstriation in the HPC realm, 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 on 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
Previous experience as a system admin running BCM/Bright Cluster Manager/Base Command Manager clusters is a definite plus.
Top Skills
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.”
