Senior HPC Support Engineer - Ethernet and AI Infrastructure
NVIDIA
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Job Description
What You Will Be Doing
- Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproductions, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (multi-distro), with the focus on NVIDIA Ethernet Switching technologies and our End-to-End Solutions such as NVIDIA Spectrum-X.
- Responding to customer product support inquiries via telephone, email or conference calls
- Resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors
- Participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc.
- As a technical resource 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-today 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, with the ability to maintain and lead the overall resolution for any critical issue raised by our customer, under all circumstances.
- 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.
Knowledge and working experience with the following:
- Experience in solving problems in large-scale networking and AI Infrastructure environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts
- Linux, Networking and NVIDIA AI Infrastructure and Operations Certifications such as CCONP, CCIE, JNCIE-DC/ENT, RHCE, LFCS, NCP-AII/AIO/AIN
- Shell Scripting (Python, bash, Ansible, yaml, etc…)
- Effective and comprehensive fixing / debugging methodology
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 172,500 USD for Level 3, and 120,000 USD - 207,000 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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About The Company
NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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