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NVIDIA

Designs the chips and software that power AI

Senior Technical Support Lead - Ethernet and AI Infrastructure

Customer SupportConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 8 years of in-depth customer support and debugging experience focused on large-scale networking and AI infrastructure environments and products, including InfiniBand, Ethernet, GPU, and infrastructure performance.
  • An academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT, or equivalent experience.
  • Demonstrated use of established Agentic AI technologies such as Claude, Codex, or Cursor in day-to-day job responsibilities.
  • Excellent verbal and written English skills.
  • Professional-level communication and interpersonal skills, analytical ability, flexibility, self-motivation, a positive attitude, intellectual curiosity, and the ability to prioritize and multitask with limited supervision.
  • Knowledge of networking technologies, protocols, and routing including IP, Layer 2, and Layer 3 at approximately CCNP/CompTIA Network+ and Cloud+ level.
  • Ability to debug networking protocols using TCPdump, Wireshark, or similar packet generation and analysis tools.
  • Configuration and operational expertise with traditional network switches and routers and open platforms.
  • Linux operating system system administration, networking, and performance knowledge at approximately LFCS/RHCSA level.
  • Experience with containerized solutions at approximately DCA and/or CKA level, virtualization including KVM/ESXi, and cloud infrastructure technologies including AWS/OCI.

Responsibilities

  • Resolve sophisticated customer concerns and technical issues through research, reproduction, and problem solving for customers installing products and supporting systems using multi-distribution Linux operating systems, with focus on NVIDIA InfiniBand, NVLink, GPU technology, and end-to-end solutions.
  • Respond to customer product support inquiries by telephone, email, or conference calls.
  • Resolve customer issues during installation, operation, maintenance, product application, or interoperability with other vendors.
  • Participate in multifunctional team meetings and provide feedback to engineering and marketing regarding product requirements, customer experience, and support tools.
  • Develop, redefine, and document standard methodologies as a technical resource for internal support and research and development teams, improving support processes.

Desired Qualifications

  • Knowledge and working experience with InfiniBand, RDMA/RoCEv2, and GPU technology.
  • Knowledge and working experience with clustering or high-performance computing data-center technologies, including upper-layer protocols such as NCCL, MPI, and Slurm/SchedMD.
  • Knowledge and working experience with shell scripting 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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