Senior HPC Support Engineer - Ethernet and AI Infrastructure
Originally posted 30 June 2026 by the employer. Relisted by the employer on 31 October 2026.
About the role
The Senior HPC Support Engineer - Ethernet and AI Infrastructure provides technical support, debugging, and issue resolution for enterprise customers installing, maintaining, and operating networking products. The role acts as a primary customer contact and supports systems using Linux operating systems, with a focus on NVIDIA Ethernet switching technologies and NVIDIA Spectrum-X end-to-end solutions.
What you'll do
- Resolve technical issues and customer concerns through research, reproductions, and troubleshooting on multi-distribution Linux operating systems focusing on NVIDIA Ethernet switching and NVIDIA Spectrum-X solutions.
- Spend a minimum of one week per month onsite in College Station, TX, supporting technical inquiries, debugging, and issue resolution.
- Respond to customer product support inquiries via telephone, email, and conference calls during installation, operation, maintenance, and multi-vendor interoperability.
- Collaborate with engineering, marketing, and global technical support teams to provide feedback on product requirements, customer experience, and support tools.
- Develop, refine, and document standard methodologies and support processes for internal support and R&D teams.
What you'll need
- 6+ years of experience providing customer support and debugging for hardware and software products.
- Bachelor's degree in Networking, Computer Science/Engineering, Electrical/IT, or equivalent practical experience.
- Enterprise-level networking knowledge of protocols and routing, including TCP, UDP, Ethernet, IP, L2, L3, ARP, STP, LACP, MLAG, IGMP, PIM, BGP, and OSPF.
- Linux operating system administration and networking troubleshooting experience, including server hardware and OS internals.
- Protocol debugging experience using packet generation and analysis tools such as TCPDUMP and Wireshark.
- Deep understanding of at least two areas among data centers, servers, distributed systems, virtualization, deep learning frameworks, and containerization (such as Docker or Kubernetes).
- Demonstrated daily use of AI tools such as Cursor, Gemini, ChatGPT, Copilot, or Glean.
More semiconductor jobs: NVIDIA jobs · Equipment engineering jobs · Texas jobs
This role has been open 122 days — well above the 52-day median for Semiconductor Equipment Engineering roles.
Semiconductor Equipment Engineering · Manufacturing Equipment
|
Open roles in category
3877
|
Median days open
52 d
|
Category median salary (all employers)
$126k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (3877 roles · 84 employers) |
|---|---|---|
| Open roles in this specialty | 16 | 3877 |
| Open roles in the wider Process, Fab & Equipment family | 65 | 10118 · 104 employers |
| Median days open | 75 d | 52 d (+23 d vs this employer) |
| Median salary (USD postings) | — | $126k |
Who's hiring in this category
- Applied Materials · 661 open roles · median 56 d
- Lam Research · 569 open roles · median 38 d
- KLA Corporation · 305 open roles · median 58 d
- Micron Technology · 240 open roles · median 50 d
- ASML · 186 open roles · median 80 d
- ASM International · 152 open roles · median 80 d
How we counted: 3877 open Semiconductor Equipment Engineering (Manufacturing Equipment) roles from 84 employers tracked in the SemiconductorJobs index, counted 31 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Process, Fab & Equipment family row. Figures refresh nightly.