Senior Solution Engineer, Networking

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CAWestford, MAAustin, TXDurham, NCNew York, NYSeattle, WA
Salary
$168,000–$270,250 / yr
Employment
Full-time
Posted
12 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $219k
$128k most similar roles pay here $286k

This role pays more than 69% of similar roles. Most pay $144,837–$226,350 — the shaded band above. At the midpoint, this role pays about $219k versus about $186k 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 1391 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1116 roles with salary data.

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At a glance

TL;DR · Senior Solution Engineer, Networking

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 reproducing and root-causing sophisticated customer issues, collaborating with R&D teams to develop bug fixes, and providing technical support for high-speed interconnect technologies like InfiniBand, NVLink, and Spectrum-X. The position requires developing analysis tools, analyzing performance metrics for lossless networks, and utilizing AI tools for log analysis and source code debugging. Candidates must possess a background in C and Python, with experience in Linux network drivers, switch ASICs, embedded firmware, and Software Defined Networking. Key technical focus areas include IPC, race conditions, finite state machines, and queue management. The role addresses the challenge of maintaining high-performance infrastructure by resolving complex issues at the source code level for AI compute environments.

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 to provide tuning recommendations for lossless networks.
  • Develop internal tools to assist in the analysis and troubleshooting of field issues.
  • Debug source code using C and Python to resolve complex problems at the system level.
  • Utilize AI tools for software development, log analysis, and trace debugging.
  • Provide technical explanations and documentation regarding findings to both internal teams and external customers.

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 and infrastructures.
  • Strong system software expertise including firmware, BIOS, kernel, drivers, and operating systems.
  • Professional-level communication skills to explain complex technical issues clearly to various audiences.
  • Background in AI infrastructure, HPC networking, InfiniBand, or NVIDIA AI stacks (preferred).

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