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Nvidia Senior HPC Support Engineer InfiniBand - NVLink 
United States, Texas 
282545103

Yesterday
US, WA, Seattle
US, MA, Westford
US, NC, Durham
US, CA, Santa Clara
time type
Full time
posted on
Posted 8 Days Ago
job requisition id


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), with the focus on NVIDIA InfiniBand, NVLink and GPU Technology and our End-to-End Solutions

  • Responding to customer product support inquiries via telephone, email, or conference calls

  • Resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors

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

  • Being a technical resource, develop, re-define and document standard methodologies to share with internal teams (Support/R&D) for support processes and improvements

  • Site visits and conference calls with customers


What we need to see:

  • 5+ years in providing in-depth Customer Support and debugging for hardware and software products.

  • Exceptional interpersonal skills with the ability to maintain and own the overall resolution for any critical issue raised by our customers, under all circumstances.

  • Linux OS including System Administration and Networking on a LFCS/RHCSA level

  • Networking Technology, protocols and routing including IP, L2 and L3 on a CCNP/CompTIA Networking+ and Cloud+ level

  • Containerized solutions experience on a level of DCA and/or CKA, Virtualization and (KVM/ESXi) and Cloud Infrastructure (AWS/OCI) Technologies

  • Able to debug networking protocols using tools such as TCPDUMP and Wireshark or similar packet generation and analysis tools

  • Bash/Python scripting abilities

  • Strong organizational skills and able toprioritize/multi-taskeasily with limited supervision

  • Integrating AI tools (Cursor, Gemini, ChatGPT, Copilot, Glean, etc.) into your daily workflow.

  • Four-year degree from an accredited University, College, or equivalent experience in Computer Science, or Electrical or Computer Engineering


Ways to stand out from the crowd:

  • NVIDIA Certifications related to AI Infrastructure, Operations and Networking

  • InfiniBand, RDMA, NVLink and NVIDIA GPU Technology

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

  • Additional Operating Systems such as Microsoft Windows, VMware, Unix

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

You will also be eligible for equity and .