Solutions Architect, AI Infrastructure Build Readiness - Enablement

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 8 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k

This role $197k

$139k $252k

below market most similar roles pay here above market

This role pays more than 56% of similar roles. Most pay $159,937–$235,750 — the blue band above. At the midpoint, this role pays about $197k 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 · Solutions Architect, AI Infrastructure Build Readiness - Enablement

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The Solutions Architect, AI Infrastructure Build Readiness - Enablement joins the AI Infrastructure Build Readiness - Enablement team to support customer-facing technical engagements. This role involves connecting real-world workloads to the hardware and software ecosystem by supporting OEM and deployment partners. You will contribute to the design and validation of scalable architectures, develop integration plans, and build, test, and validate solutions for large-scale AI and HPC systems. Key responsibilities include troubleshooting issues, creating onboarding materials, and supporting AI Factory build readiness initiatives. Required skills include experience in software or hardware engineering, infrastructure architecture, and data center deployment. You must possess foundational knowledge of high-performance computing, rack-scale AI infrastructure, and GPU systems while utilizing NVIDIA tools, SDKs, and platforms to solve complex technical problems for partners.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

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Skills

AI Infrastructure GPU High-Performance Computing HPC Data Center Infrastructure Accelerated Computing AI/ML Networking SDKs Hardware Engineering Infrastructure Architecture

What you'll do

Support technical engagements with OEM and deployment partners to identify how NVIDIA's technology stack addresses their specific workloads.
Contribute to the design, validation, and development of scalable architectures and integration plans for customer solutions.
Build, test, and validate technical solutions to help partners scale NVIDIA technologies.
Document and communicate technical feedback from field partners to internal product and engineering teams.
Troubleshoot technical issues and guide customers in navigating NVIDIA's tools, SDKs, and platforms.
Create onboarding materials, demos, and documentation to support technical enablement and platform adoption.
Contribute to AI Factory build readiness by developing deployment guides and readiness frameworks.

What we're looking for

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field.
Hands-on exposure to infrastructure architecture, data center deployment, or large-scale AI/HPC systems.
Foundational technical knowledge in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems.
Ability to communicate technical concepts clearly to both technical and non-technical audiences.
Experience working with OEM, ODM, system integrator, or deployment partner ecosystems to support partner enablement or platform adoption.
Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.

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