Solutions Architect, Hyperscale

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
103 days ago
Freshness
Confirmed live today

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Similar $202k
$154k $263k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $165,250–$238,950.

Based on 240 similar postings.

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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 · Solutions Architect, Hyperscale

The Solutions Architect, Hyperscale joins the Solutions Architecture team to build Artificial Intelligence solutions for the world’s largest customers. This role involves analyzing, defining, implementing, and optimizing AI/ML and HPC software and system solutions at hyperscale. You will develop and demonstrate hardware and software solutions, build customer trust, and act as a technical resource for complex infrastructure. Key responsibilities include conducting technical meetings, developing Proof of Concept solutions, and preparing technical presentations. You must possess proficiency in AI, ML, and HPC applications, alongside comprehensive knowledge of computer system architecture including PCIe and networking. The role requires experience designing and troubleshooting performance benchmarks for GPU and multi-node systems to address and optimize customer AI systems performance issues within a high-performance computing environment.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

What you'll do

  • Develop and demonstrate AI software and hardware solutions with hyperscale customers.
  • Analyze and optimize AI/ML and HPC software and system solutions at hyperscale.
  • Act as a technical resource to help customers understand performance characteristics for complex infrastructure.
  • Identify and secure business opportunities for NVIDIA products in partnership with Sales and Product teams.
  • Conduct technical meetings for project details, feature discussions, and debugging sessions.
  • Develop Proof of Concept (PoC) solutions for critical business needs.
  • Prepare and deliver technical presentations and workshops to customers.
  • Address and optimize customer AI systems performance issues.

What we're looking for

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other equivalent engineering fields (or equivalent experience).
  • 5+ years of Solutions Engineering or similar experience in AI-related fields.
  • Proficiency in AI, ML, and HPC applications.
  • Comprehensive knowledge of computer system architecture including PCIe and networking and their impact on AI application performance.
  • Experience in designing, running, and troubleshooting performance benchmarks for AI systems including GPU and multi-node systems.
  • Excellent communication skills to act as a trusted advisor to customers.
  • In-depth knowledge and hands-on experience with ML/DL/AI including performance testing (preferred).
  • Background with NVIDIA hardware and software along with practical experience with GPU systems (preferred).

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