Senior Solution Engineer, Networking

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CAWestford, MAAustin, TXDurham, NCNew York, NY
Salary
$168,000–$270,250 / yr
Posted
35 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $219k
$112k most similar roles pay here $287k

This role pays more than 77% of similar roles. Most pay $140,800–$216,062 — the shaded band above. At the midpoint, this role pays about $219k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Solution Engineer, Networking

The Senior Solution Engineer, Networking joins the NVIDIA Enterprise Experience Solutions Engineering team to establish expertise in groundbreaking network technology for AI clusters. This role involves bridging customer support teams and R&D to resolve complex issues from the front lines of high-speed interconnect technologies like InfiniBand, NVLink, and Spectrum-X. The engineer will reproduce and root cause sophisticated customer problems down to the source code level while developing bug fixes and analysis tools for high-performance, lossless networks. Key technical requirements include proficiency in C and Python, along with experience in Linux network drivers, NIC software, SmartNICs, DPUs, and Software Defined Networking. Candidates must possess a strong background in system software, including firmware, BIOS, and kernel internals, to address challenges involving IPC, race conditions, and flow analysis within the specialized domain of AI compute infrastructure.

What you'll do

  • Reproduce and root cause sophisticated customer issues for high-performance network technologies like InfiniBand and NVLink.
  • Collaborate with R&D teams to develop bug fixes and workarounds for critical customers.
  • Analyze network performance metrics and provide tuning recommendations for lossless networks.
  • Develop internal tools to assist in the analysis and resolution of field issues.
  • Perform source code debugging and log analysis using C, Python, and AI-driven development tools.
  • Provide technical explanations and documentation regarding complex root causes to both internal and external stakeholders.

What we're looking for

  • Minimum of a BS in Computer, Electrical, or Software Engineering (or equivalent experience).
  • 8+ years of experience in C programming in Linux and embedded systems.
  • Proficiency in Python.
  • 8+ years of experience developing software for network hardware, firmware, OS, or SDN stacks.
  • At least 3 years of experience directly supporting end-customers, partners, or integrators for network equipment.
  • Strong system software expertise including firmware, BIOS, kernel, and drivers.
  • Professional-level communication skills to explain complex issues to various technical audiences.
  • Background in AI infrastructure, HPC networking, or NVIDIA AI stacks (preferred).

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