Senior HPC Support Engineer - Compute and GPU Platform

NVIDIASanta Clara, WA
$108,000 - $207,000

About The Position

NVIDIA is seeking a motivated Senior HPC Support Engineer - Compute/GPU (DGX Platform) passionate about AI, GPU, networking, and datacenter technologies. This role provides 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 customers, you will assist them with technical questions, debugging, and resolving their issues. As a member of the 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. A significant part of the role is also to interact with Engineering, Marketing, and Support teams regularly on technical issues.

Requirements

  • 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-to-day 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 Linux System Administration on an 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).
  • Deep Linux knowledge, and be very comfortable working in various Linux environments as well as with other operating systems like Microsoft Windows and VMWARE.

Nice To Haves

  • 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.

Responsibilities

  • 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).
  • 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.
  • 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 give feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc.

Benefits

  • Highly competitive salaries
  • Comprehensive benefits package
  • Equity
  • Benefits (detailed at www.nvidiabenefits.com/)
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