Drimva

SambaNova

Network Solutions Architect

$225K–$250K

San Jose, California, United States · Full-time · Posted Aug 19, 2026

Experience
5+ years of Solution Architect (or similar Engineering roles) experience.
Education
Bachelor’s degree or equivalent experience in computer science, electrical engineering, or computer engineering.

About the job

Designs and supports customer data-center networking solutions integrating SambaNova RDU systems, from reference architectures and demonstrations to deployment troubleshooting and product feedback.

What you'll do

  • Define end-to-end reference architectures integrating SambaNova RDU and networking into data-center solutions; support account teams with customer opportunities.
  • Build and deliver tailored demonstrations and proofs of concept, and manage complex networking deployments and design-in opportunities.
  • Troubleshoot customer-site networking performance, deliver technical training, and provide engineering feedback on product requirements and evolution.

What they ask for

  • Deep networking experience, including network topology considerations and solid knowledge of L2/L3 Ethernet or other networking protocols.
  • Knowledge of data-center engineering, networking, or cloud applications, and system-level topics including operating systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture.
  • Technical presentation skills and confidence developing proofs of concept.
  • Bachelor’s degree or equivalent experience in computer science, electrical engineering, or computer engineering.

Nice to have

  • Low-latency/high-bandwidth interconnect experience such as InfiniBand or Ethernet; practical K8s and Linux virtualization (KVM) experience.
  • GPU-accelerated systems administration, software and distributed/parallel computing, practical DevOps, or Agentic AI experience.

Pay

$225,000 — $250,000 USD (base pay range)

Tools

RDU, L2/L3 Ethernet, Linux kernel drivers, PCIe, NICs, InfiniBand, K8s, KVM

AI focus

Supports customer solutions for artificial intelligence and LLM applications; Agentic AI experience is a preferred qualification.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)