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Senior Technical Support Engineer - Ethernet and AI Infrastructure

NVIDIA· Engineer, Technical Support
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RemoteFull-timePosted 2w ago

About the role

Senior Technical Support Engineer with deep expertise in Ethernet networking and AI infrastructure, focused on complex investigations, critical escalations, and customer-facing technical leadership in large-scale data center and AI environments.

Responsibilities

  • Investigate and resolve complex issues involving NVIDIA Ethernet networking, Linux systems, servers, and large-scale AI infrastructure, including end-to-end solutions such as NVIDIA Spectrum-X.
  • Own critical customer issues from initial response through resolution, coordinating cross-functional teams and providing clear, timely communication to customers and leadership.
  • Reproduce customer problems, analyze diagnostic data, identify root causes, and resolve issues involving installation, operation, maintenance, performance, and multivendor interoperability.
  • Serve as a trusted technical advisor to enterprise, cloud, and service-provider customers through telephone, email, and conference-based support engagements.
  • Partner with Engineering and Product teams to translate field findings into product improvements, support tools, technical documentation, and troubleshooting methodologies.
  • Provide technical leadership during high-severity incidents, remaining calm and decisive while managing priorities, risks, and customer expectations.
  • Improve support effectiveness through automation, knowledge sharing, structured debugging practices, and the practical use of agentic AI tools.

Qualifications

  • 5+ years of experience providing in-depth technical support and debugging for networking, hardware, software, or enterprise infrastructure products.
  • Deep knowledge of Ethernet and data center networking, including TCP/IP, Layer 2 and Layer 3 technologies, ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF, routing, and switching.
  • Proven experience troubleshooting complex network issues using tcpdump, Wireshark, packet generators, telemetry, and log-analysis tools.
  • Strong Linux system administration and networking skills, including diagnosing server, operating-system, driver, hardware, and performance issues.
  • Excellent customer-facing, written, verbal, and presentation skills, with the ability to explain complex technical issues, manage expectations, and build trust with customers and executives.
  • Proven ability to lead high-severity customer situations, coordinate multiple technical teams, make sound decisions under pressure, and drive issues to timely resolution.
  • Strong analytical, organizational, and prioritization skills, with the ability to work independently and manage multiple complex issues.
  • Practical experience using agentic AI technologies such as Claude, Codex, or Cursor to improve troubleshooting, automation, documentation, or day-to-day productivity.
  • Hands-on experience with AI infrastructure and at least two of: data centers, distributed systems, accelerated servers, virtualization, deep learning frameworks, Docker, Kubernetes, or high-performance computing.
  • A bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Networking, or related discipline, or equivalent practical experience.

Skills

Required:Ethernet networkingTCP/IP, Layer 2/3 technologiesLinux system administrationTroubleshooting toolsCustomer-facing communicationTechnical leadership under pressureAI infrastructure experience
Nice to have:Agentic AI tools
Last updated Oct 9, 2026. Interested? Apply on the company site.

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