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Senior Technical Support Lead – Ethernet and AI Infrastructure

Full-time US, CA, Santa Clara On-site Posted 2 horas ago

NVIDIA

Opportunity published from Workday · applications stay with the original hiring source.

Source verified 1 hour agoThe original job page was active during UpVagas' latest lifecycle check.

About the opportunity

NVIDIA is seeking a Senior HPC Support Engineer focusing on InfiniBand and NVLink technology to provide comprehensive solutions for sophisticated installations, maintenance, and operations of groundbreaking networking products.

As a primary point of contact, you will assist customers with technical questions, debugging, and resolving issues while ensuring a high level of customer satisfaction.

As a member of the NVIDIA Experience (NVEX) Global Technical Support team, you will collaborate regularly with Engineering, Marketing, and Support teams on technical issues and take ownership of issue resolution.

NVIDIA offers a diverse, supportive environment where you can make a lasting impact on the world of accelerated computing and AI infrastructure.

Key responsibilities

  • Resolve sophisticated customer concerns and technical issues through meticulous research, reproduction, and problem-solving using Linux Operating Systems (Multi-distro), with a focus on NVIDIA InfiniBand, NVLink, GPU Technology, and End-to-End Solutions.
  • Respond to customer product support inquiries via telephone, email, or conference calls.
  • Resolve customer issues during installation, operation, maintenance, product application, or interoperability with other vendors.
  • Participate in cross-functional team meetings and provide feedback to engineering and marketing regarding product requirements, customer experience, and support tools.
  • Develop, re-define, and document standard methodologies as a technical resource to provide internal teams (Support and R&D) with support process improvements.

Qualifications

  • 8+ years of in-depth customer support and debugging experience focused on large-scale networking and AI infrastructure environments and products, including InfiniBand, Ethernet, and GPUs.
  • Academic degree in Networking, Computer Science/Engineering, Electrical, or IT from an accredited university or college (or equivalent experience).
  • Demonstrated use of established Agentic AI technologies (Claude, Codex, Cursor) in day-to-day job responsibilities.
  • Excellent verbal and written English skills.
  • Proficient knowledge in networking technology, protocols, and routing including IP, L2, and L3 at a CCNP, CompTIA Networking+, or Cloud+ level.
  • Ability to debug networking protocols using tools such as TCPDUMP, Wireshark, or similar packet generation and analysis tools.
  • Configuration and operational expertise with traditional network switches, routers, and Open platforms.
  • Linux OS system administration, networking, and performance at an LFCS or RHCSA level, plus containerized solutions experience on a DCA and/or CKA level, virtualization (KVM/ESXi), and cloud infrastructure technologies (AWS/OCI).

Nice to have

  • Knowledge and working experience with InfiniBand, RDMA/RoCEv2, and GPU Technology.
  • Clustering or HPC data-center technologies including Upper Layer Protocols (NCCL, MPI, Slurm/SchedMD).
  • Shell scripting experience using Bash or Python.
  • Linux, networking, and NVIDIA AI infrastructure and operations certifications such as CCNP, CCIE, JNCIE-DC/ENT, RHCE, LFCS, or NCP-AII/AIO/AIN.

Benefits

  • Highly competitive base salary and comprehensive benefits package.
  • Eligibility for equity compensation.
  • Access to family and personal benefits detailed at www.nvidiabenefits.com/

Job details

  • Base salary range: 120,000 USD to 207,000 USD for Level 4, and 144,000 USD to 230,000 USD for Level 5, determined by location, experience, and peer pay.
  • Applications accepted at least until October 11, 2026.
  • Posting type: Existing vacancy.

About the company

NVIDIA has transformed computer graphics, PC gaming, and accelerated computing for over 25 years. Today, the company taps into the unlimited potential of AI to define the next era of computing, using GPUs as the brains of computers, robots, and self-driving cars.

Additional information

  • NVIDIA uses AI tools in its recruiting processes.

Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.

Source transparency. UpVagas organizes information provided by the company or recruitment source. Always review the original listing before submitting personal information.
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