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NVIDIA

Senior Solutions Architect, Spectrum-X Low Level

NVIDIA
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onsite senior full-time $95,000–$150,000 Santa Clara, CA

First indexed 9 Jun 2026

Description

We seek experienced software-embedded engineers to help support our groundbreaking, innovative technologies that make AI workloads in large clusters even more performant. As a networking Sr. Solutions Architect at NVIDIA, you will have agency and palpable effects on the business, and work closely with customers and R&D teams.

Responsibilities:

  • Support networking technologies such as Spectrum-X and work with customers on their technical challenges and requirements using said technologies during pre-sales activities
  • Develop proof-of-concept materials for innovative technologies for use by early adopters
  • Gain customers' trust and understand their needs to help design and deploy groundbreaking NVIDIA networking platforms to run AI and HPC workloads
  • Address sophisticated and highly visible customer issues
  • Work closely with R&D teams to develop new features for customers
  • Help with product requirements alongside engineering and product marketing

Requirements:

  • 8+ years of experience with real-time embedded computer software, knowledge of Linux kernel, Ethernet and IP protocols
  • B.Sc, Masters, or Ph.D. in Computer Science, Electrical Engineering, or related technical field (or equivalent experience)
  • Extensive knowledge in, and experience with debugging issues
  • Strong analytical and problem-solving skills, with attention to details
  • Ability to work collaboratively and be willing to work directly with customers
  • Proven experience with Firmware level code development for Networking products
  • Background with common sideband management protocols including NC-SI (Network Controller Sideband Interface), MCTP (Management Component Transport Protocol), and RMII (Remote Management Interface)

Desirable Skills:

  • Coding development experience with multiple programming languages (from low-level C programming language to high-level languages such as Perl, python, and shell scripts)
  • Knowledge in Cloud infrastructure and AI workflows
  • Linux Environment and Linux Networking
  • Familiarity with NVIDIA DPUs, RoCE, and RDMA concepts