Senior HPC Support Engineer – Ethernet, AI Infrastructure

Responsibilities

• Resolve sophisticated customer concerns and technical issues through meticulous research, reproductions, and problem-solving for customers installing our products and supporting systems using Linux Operating Systems (multi-distro).
• Respond to customer product support inquiries via telephone, email, or conference calls.
• Resolve customer issues during installation, operation, maintenance, or product application or interoperability with other vendors.
• Participate in multi-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 to provide to internal teams (Support/R&D) for support process and improvements.

• 5+ years in providing in-depth Customer Support and debugging for hardware and software products.
• An academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT (or equivalent experience).
• Shown use of established AI technologies in day‑to‑day job responsibilities.
• Established knowledge of Enterprise platform and systems engineering who understands Linux triage, knowledge about servers and can resolve hardware and/or OS internal issues.
• Intellectual curiosity, positive attitude, flexibility, analytical ability, self‑motivation, and team‑oriented including professional‑level communication skills, interpersonal skills.
• Profound knowledge and experience in Networking Technology, protocols and routing including TCP, UDP, Ethernet, IP, L2, L3 (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF), on Enterprise Level.
• Linux OS including System Administration and Networking (LFCS / RHCSA).
• Able to debug networking protocols using tools such as TCPDUMP and 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, containers/containerization (i.e., Docker, Kubernetes).
• Adoption of AI solutions like Cursor, Gemini, ChatGPT, Copilot, Glean, etc. in your daily work routine.

• Linux Operating Systems
• Networking Protocols
• TCP/IP
• System Administration
• Debugging
• Enterprise Systems Engineering
• Data Center Management
• Virtualization
• Containerization
• AI Technologies

• Analytical Ability
• Interpersonal Skills
• Positive Attitude
• Self‑Motivation
• Team‑Oriented

• LFCS
• RHCSA