Senior HPC Support Engineer - Compute and GPU Platform

NVIDIA is seeking a Senior HPC Support Engineer - Compute/GPU (DGX Platform) to provide comprehensive solutions for AI hardware and software products.

The successful candidate will be a primary point of contact for customers, assisting with technical questions, debugging, and resolving issues.

Key Responsibilities:

• Resolve sophisticated customer concerns and technical issues related to AI hardware and software products 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
• Apply industry-standard AI tools to efficiently share debugging results, create internal/external knowledge base articles, and analyze customer issues
• Participate in multi-functional team meetings and provide feedback to engineering and marketing regarding product requirements, customer experience, and support tools

Requirements:

• 5+ years of 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, including Linux triage, servers, and hardware/OS internal issues
• Excellent verbal and written English skills
• Academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT (or equivalent experience)

Preferred Skills:

• Linux System Administration on engineering and networking level, preferably 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)
• 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

Benefits:

• Highly competitive salaries
• Comprehensive benefits package, including equity and benefits (see www.nvidiabenefits.com/ for more information)