Senior Solutions Architect, Supercomputing

Nvidia

Confirmed live yesterday Low trust

Remote

Quick summary

Work type: Remote
Location: TXSanta Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 157 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k

This role $236k

$153k most similar roles pay here $302k

This role pays more than 81% of similar roles. Most pay $170,300–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $203k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Supercomputing

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Senior Solutions Architect, Supercomputing joins a team to serve as a technical bridge between internal developers, partners, and customers across various industries. This role involves engaging with stakeholders to understand goals, defining high-value solutions, and creating content such as white papers, blogs, and targeted samples. The position focuses on integrating technology into AI workloads, HPC, and enterprise GPU and networking architectures for datacenter and edge applications. Key responsibilities include technical leadership, educating customers through presentations, and solving complex problems. Required skills include experience in data science, software development, parallel computing with GPUs, and modern deployment practices like Slurm, Docker, and Kubernetes. Candidates should possess expertise in Generative AI, Agentic AI architecture, CUDA programming, and network software development to address challenges in machine learning, foundation modeling, and physical AI.

What does a Solutions Architect earn in Texas?

Median $182825 from 30 postings across 11 companies.

See salary data

Skills

GPU CUDA Machine Learning Deep Learning High-Performance Computing Generative AI Agentic AI Docker Kubernetes Slurm GPGPU Parallel Computing Data Science Networking

What you'll do

Act as a trusted technical advisor to partners and customers regarding GPU and networking architectures.
Define and deliver high-value solutions that meet specific customer goals and technical requirements.
Integrate NVIDIA technology into AI workloads, HPC, and enterprise infrastructure for datacenter and edge applications.
Create technical content including samples, white papers, blogs, and wiki articles to educate others.
Provide hands-on engagement with developers to solve complex problems during technical consultations.
Deliver product roadmaps, presentations, and briefings to educate customers on NVIDIA technologies.
Coordinate multiple initiatives and project implementations involving the integration of new products into complex systems.

What we're looking for

U.S. citizenship is required for this position.
A security clearance is required.
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.
Experience 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 for educating customers and collaborating with internal teams.
Proven experience supporting customers and partners in technical engagements.