Senior HPC Support Engineer, Compute and GPU - DGX Platform

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing 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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a motivated Senior HPC Support Engineer - Compute/GPU (DGX Platform) passionate about AI, GPU, networking and datacenter technologies, to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a broad scope of AI hardware and software products. As a primary point of contact for our customers; assisting them with technical questions, debugging and resolving their issues. As a member of our Technical Support team, you are a detailed, proficient communicator who is fundamentally interested in taking ownership in resolving issues, while ensuring a high level of customer happiness is maintained and delivered. Significant part of the role is also to interact with Engineering, Marketing, and Support teams regularly on technical issues.

What you will be doing:

• Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproduction, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (Multi-distro).

• You'll rapidly debug and respond to user-reported issues via telephone, email or conference calls on the DGX Platform (hardware and software)stack including but not limited to resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors.

• Ability to apply industry standard AI Tools to efficiently share debugging results, create internal/external knowledge base articles & analyze customer issues thereby helping to develop, re-define and document standard methodologies to provide to internal teams(Support/R&D) for support process and improvements.

• Participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc.

What we need to see:

• 5+ years in providing in-depth Customer Support and debugging experience for hardware and software products, strong organizational skills and ability to prioritize/multi-task easily with limited supervision.

• Proven use of established AI technologies in day-today job responsibilities.

• Established knowledge of Enterprise platform and systems engineering who understands Linux triage, knowledge about servers and can resolve hardware and/or OS internal issues.

• Excellent verbal and written English skills.

• An academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT (or equivalent experience).

• Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented including professional-level communication skills, interpersonal skills with a passion to solve problems.

Profound knowledge and experience (solving) in the following skills:

• Linux System Administration on engineering and networking level, preferable focused on Red Hat Enterprise Linux and Ubuntu distributions.

• Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks, containers/containerization (i.e. Docker, Kubernetes).

• You'd have nurtured a deep Linux knowledge, and be very comfortable working in various Linux environments as well as with other operating systems like Microsoft Windows and VMWARE.

Ways to stand out from the crowd:

• Knowledge and working experience with InfiniBand, RDMA/RoCEv2 and GPU Technology.

• Clustering or HPC Data-Center technologies including Upper Layer Protocols (i.e., MPI, NCCL).

• Shell scripting (Bash/Python).

• Ethernet and Distributed File System Storage technologies.

• Configuration and operational expertise with traditional network switch/router and Open platforms.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 172,500 USD for Level 3, and 120,000 USD - 207,000 USD for Level 4.Applications for this job will be accepted at least until July 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.