Senior Solutions Architect, First Time Deployment Networking InfiniBand

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CATXVAWA
Salary
$148,000–$235,750 / yr
Employment
Full-time
Posted
40 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k
This role $192k
$137k $253k
below market most similar roles pay here above market

This role pays less than 58% of similar roles. Most pay $160,000–$235,750 — the blue band above. At the midpoint, this role pays about $192k versus about $198k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, First Time Deployment Networking InfiniBand

JOB TITLE: Senior Solutions Architect, First Time Deployment Networking InfiniBand - NVIS The Senior Solutions Architect joins a customer-focused team to bring NVIDIA products from research labs to operational AI Factories. This role involves analyzing, defining, and implementing large-scale AI/HPC projects by deploying, managing, and validating infrastructure in Linux-based environments for first-of-kind hardware. Key responsibilities include acting as a domain authority during planning calls, creating documentation, and performing knowledge transfers. The position requires expertise in Linux system administration, network routing, and InfiniBand networking using tools like ibdiag and Unified Fabric Manager. Candidates must possess scripting proficiency in Bash, Python, and Ansible, along with experience in Kubernetes, SLURM, and benchmarking tools like MLPERF. The work focuses on solving complex networking and system design problems for sophisticated deep learning and data analytics systems.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

What you'll do

  • Deploy, manage, and validate AI/HPC infrastructure in Linux-based environments for new NVIDIA hardware.
  • Act as the domain authority for customers and engineering teams during project planning and implementation.
  • Analyze, define, and implement large-scale AI/HPC projects involving networking, system design, and automation.
  • Create technical documentation and perform knowledge transfers to support customers during system rollouts.
  • Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting product improvements.
  • Configure, test, and validate LAN and InfiniBand networking using specialized health and performance tools.
  • Perform benchmarking using tools such as HPL, NCCL tests, and MLPERF.
  • Automate tasks and manage systems using scripting languages like Bash and Python or tools like Ansible.

What we're looking for

  • Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering, or equivalent experience.
  • 6+ years of experience providing in-depth support and deployment services for hardware and software products.
  • Experience with Linux system administration, dev ops, process management, kernel management, and network-routing.
  • Experience configuring, testing, and validating LAN and InfiniBand networking using tools like ibdiag and UFM.
  • Proficiency in scripting with Bash, Python, and Ansible, along with experience in automation tooling like Puppet.
  • Experience with benchmarking tools such as HPL, NCCL tests, and MLPERF.
  • Familiarity with schedulers such as SLURM, LSF, or UGE, and experience with Kubernetes.
  • Experience with GPU hardware/software, MPI, or storage technologies like Lustre or GPFS (preferred).

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