Senior Solutions Architect, Supercomputing

Nvidia

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Remote

Quick summary

Work type: Remote
Location: ILTXSanta Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k

This role $236k

$147k $303k

below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $161,737–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $199k 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, Supercomputing

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JOB TITLE: Senior Solutions Architect, Supercomputing The Senior Solutions Architect, Supercomputing joins a team to serve as a technical advisor and bridge between industry teams, partners, and customers. You will collaborate with developers, scientific researchers, and data scientists to define and deliver high-value solutions for AI workloads, HPC, and enterprise GPU and networking architectures. Day-to-day responsibilities include building targeted samples, writing white papers, and solving complex problems on whiteboards to integrate technology into datacenter and edge applications. Required skills include a background in data science or software development, parallel computing with GPUs, and experience with Slurm, Docker, and Kubernetes. You must possess expertise in Generative AI, Agentic AI, and CUDA programming. This role addresses technical challenges in Machine Learning, AI Physics, Foundation Modeling, and Physical AI.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

Skills

GPU CUDA Machine Learning Deep Learning HPC Kubernetes Docker Slurm GPGPU Generative AI Agentic AI Foundation Models Parallel Computing Data Science

What you'll do

Develop and deliver high-value technical solutions that meet specific customer goals and strategies.
Integrate NVIDIA technology into AI workloads, HPC, and enterprise GPU and networking architectures.
Act as a trusted technical advisor to partners, customers, and internal solution architecture teams.
Create technical documentation including targeted samples, white papers, blogs, and wiki articles.
Educate customers through product roadmaps, presentations, briefings, and hands-on developer engagement.
Partner with lighthouse customers and industry-specific solution partners to target the computing platform.
Solve complex technical problems with customers using whiteboarding and direct technical engagement.
Coordinate multiple initiatives and the implementation of new technologies into complex projects.

What we're looking for

U.S. citizenship is required.
Must possess a security clearance.
Bachelor's degree in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs.
Background working with modern application deployment practices including Slurm, Docker/Containers, and Kubernetes.
Experience with modern Generative AI and Agentic AI architecture and frameworks.
Strong written and oral communication skills to collaborate with accounts, customers, management, and engineering.
Experience supporting customers/partners in technical engagements.

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