Senior Solutions Architect, Supercomputing

Nvidia

Confirmed live 2 days ago 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 2 days ago
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 80% 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.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Solutions Architect, Supercomputing

Role Posting Log in to save

As a Senior Solutions Architect, Supercomputing, you will join a team to serve as a trusted technical advisor and bridge between internal developers, partners, and customers. You will collaborate with various stakeholders to understand customer goals and deliver high-value solutions for AI workloads, HPC, and enterprise GPU and networking architectures at the datacenter and edge. Your daily responsibilities include building targeted samples, writing white papers, and solving complex problems on whiteboards while educating others through presentations and technical briefings. The role requires expertise in parallel computing with GPUs, CUDA programming, and optimization, alongside experience with Slurm, Docker, Kubernetes, and modern Generative AI and Agentic AI frameworks. You will address critical challenges in machine learning, foundation modeling, and physical AI to integrate advanced technologies into complex industrial workflows and infrastructure.

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 Data Science Parallel Computing Networking

What you'll do

Act as a trusted technical advisor to partners and customers regarding GPU and networking architectures.
Develop high-value solutions that meet specific customer goals, strategies, and technical needs.
Create technical content including samples, white papers, blogs, and wiki articles to educate others.
Integrate NVIDIA technology into AI workloads, HPC, and enterprise architectures for datacenter and edge applications.
Partner with lighthouse customers and industry-specific partners to promote the computing platform.
Provide hands-on engagement and education for developers through product roadmaps and technical briefings.
Solve complex technical problems with customers using whiteboarding and direct collaboration.
Coordinate multiple initiatives and projects involving the implementation of new technologies 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.