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NVIDIA

Designs the chips and software that power AI

Senior HPC Support Engineer - Ethernet and AI Infrastructure

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

About the Job

Requirements

  • At least five years of experience providing in-depth customer support and debugging for hardware and software products.
  • Demonstrated use of established agentic AI technologies such as Claude, Codex, and Cursor in day-to-day job responsibilities.
  • Established knowledge of enterprise platforms and systems engineering, Linux triage, servers, and resolving hardware or operating system internal issues.
  • Intellectual curiosity, a positive attitude, flexibility, analytical ability, self-motivation, and a team-oriented approach, including professional-level communication and interpersonal skills and the ability to lead resolution of critical customer issues.
  • An academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT, or equivalent experience.
  • Excellent English communication, presentation, oral, verbal, and written skills.
  • Profound knowledge and experience in networking technology, protocols, and routing, including TCP, UDP, Ethernet, IP, Layer 2, and Layer 3 protocols such as ARP, STP, LACP, MLAG, IGMP, PIM, BGP, and OSPF, at enterprise level.
  • Linux operating systems, including system administration and networking.
  • Ability to debug networking protocols using TCPDUMP, Wireshark, or similar packet generation and analysis tools.
  • Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks, or containerization such as Docker and Kubernetes.
  • Strong organizational skills and ability to prioritize and multitask with limited supervision.

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 a focus on NVIDIA Ethernet switching technologies and end-to-end solutions such as NVIDIA Spectrum-X.
  • 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, support tools, and related matters.
  • Develop, redefine, and document standard methodologies for internal Support and Research and Development teams to improve support processes.

Desired Qualifications

  • Experience solving problems in large-scale networking and AI infrastructure environments using overlay technologies such as BGP, OSPF, VXLAN, and EVPN, as well as RoCE and quality-of-service concepts.
  • Experience with clustering or high-performance computing data-center technologies, including upper-layer protocols such as NCCL, MPI, and Slurm/SchedMD.
  • Linux, networking, and NVIDIA AI infrastructure and operations certifications, such as CCONP, CCIE, JNCIE-DC/ENT, RHCE, LFCS, and NCP-AII/AIO/AIN.
  • Shell scripting with Python, Bash, Ansible, or YAML.
  • Effective and comprehensive fixing and debugging methodology.

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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