Senior Solutions Architect, Supercomputing

NVIDIA

. Engage with customers, partners, and NVIDIA software engineers to collaborate with developers and support applications and platforms leveraging NVIDIA technology .

Posted 10/14/2026full-timeRemote • United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in integrating NVIDIA technology into AI workloads and workflows, with a strong focus on customer engagement and technical problem-solving. Proficient in modern application deployment practices and GPGPU programming, with a proven ability to educate and lead technical discussions.

Highest-signal resume keywords

CUDA Programming and OptimizationGPGPU Programming and Design PracticesExperience with Docker/Containers and KubernetesStrong Written and Oral Communication SkillsExperience Supporting Customers/Partners in Technical Engagements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceSoftware DevelopmentParallel Computing with GPUsGenerative AI ArchitectureAgentic AI FrameworksNetwork Software DevelopmentDeep Neural NetworkMachine Learning R&DSurrogate ModelsFoundation Models

Soft Skills

Strong Organization SkillsAnalytical and Problem-Solving Skills

Tools & Technologies

SlurmDockerKubernetes

Certifications & Qualifications

Security ClearanceU.S. Citizenship

Industry Keywords

AI WorkloadsHPCEnterprise GPUNetworking ArchitecturesCustomer Engagement

Tech Stack

Tools & technologies

DockerKubernetes

About the role

Key responsibilities & impact

Engage with customers, partners, and NVIDIA software engineers to collaborate with developers and support applications and platforms leveraging NVIDIA technology
Partner with industry and account teams in a customer-facing role to understand customer goals, strategies, and technical needs
Help define and deliver high-value solutions meeting customer needs
Document knowledge and teach others through targeted samples, white papers, blogs, wiki articles, and customer problem-solving sessions
Lead integration of NVIDIA technology into AI workloads and workflows, HPC, and enterprise GPU and networking architectures for datacenter and edge applications
Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA’s computing platform
Educate customers through product roadmaps, presentations, briefings, and hands-on developer engagement
Serve as a trusted technical advisor and leader to partners, customers, and the Solutions Architect team
Travel as needed to support partners and customers

Requirements

What you’ll need

This position requires a security clearance and U.S. citizenship
Bachelors 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
Experience supporting customers/partners in technical engagements
Strong organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
Strong analytical and problem-solving skills
Experience applying data science to industry problems
Experience using GPGPU programming and design practices
CUDA programming and optimization experience
Experience with network software development
Published record of thought leadership in a technical area or industry segment, including Deep Neural Network, Machine Learning R&D, Agentic AI, surrogate Models, or foundation models

Benefits

Comp & perks

Equity
Benefits
Some travel is required for this role
Flexible/empowered work approach to find the best way to get the job done