Senior Solutions Architect, Supercomputing

NVIDIA • Us, IL

1d

About The Position

NVIDIA is seeking a Senior Solutions Architect to engage with customers, partners, and NVIDIA software engineers to support applications and platforms built on NVIDIA technology across industries. The role serves as a trusted technical advisor and leader to customers, partners, and the solutions architects on the team, bridging technical expertise among industry teams, partners, and customers. The position focuses on HPC, machine learning, AI Physics, foundation modeling, Physical AI, and Agentic AI, and requires U.S. citizenship and a security clearance.

The Solutions Architect works with internal developers, scientific researchers, data scientists, IT managers, and senior leaders to understand customer goals and technical needs and deliver valuable solutions. The role also develops expertise and educational materials to share with others, and provides technical leadership on integrating NVIDIA technology into AI workloads and workflows, HPC, and enterprise GPU and networking architectures for advanced applications in datacenters and at the edge. The position partners strategically with key customers and solution partners. Conferencing tools are used extensively, with some travel required.

The role offers a base salary range of $184,000–$287,500 for Level 4 or $224,000–$356,500 for Level 5, depending on location, experience, and compensation of employees in similar positions. Equity and benefits are also offered. Applications will be accepted at least until October 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in recruiting and is an equal opportunity employer.

Requirements

• Bachelor's degree in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
• At least 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 architectures and frameworks.
• Strong written and oral communication skills and ability to collaborate effectively with accounts, customers, management, and engineering.
• Experience educating customers through product roadmaps, presentations, briefings, or hands-on engagement with developers.
• Experience supporting customers or partners in technical engagements.
• Strong organization skills for coordinating multiple initiatives, priorities, and complex implementations.
• Strong analytical and problem-solving skills.
• U.S. citizenship and a security clearance are required.

Nice To Haves

• Experience applying data science to industry problems.
• Experience using GPGPU programming and design practices.
• CUDA programming and optimization experience.
• Experience with network software development.
• AI experience, including a published record of thought leadership in a technical area or industry segment.
• Experience in Deep Neural Networks, Machine Learning R&D, Agentic AI, surrogate models, or foundation models.

Responsibilities

• Partner with industry and account teams in a customer-facing role to understand customer goals, strategies, and technical needs and define and deliver solutions.
• Document and share knowledge through targeted samples, white papers, blogs, wiki articles, and collaborative technical problem-solving.
• Provide technical leadership on integrating NVIDIA technology into AI workloads and workflows, HPC, and enterprise GPU and networking architectures for advanced datacenter and edge applications.
• Strategically partner with key customers and industry-specific solution partners.
• Educate customers through product roadmaps, presentations, briefings, and hands-on developer engagement.
• Support partners and customers in technical engagements and help them succeed.
• Coordinate multiple initiatives, priorities, and implementations of new technology and products in complex projects.
• Serve as a trusted technical advisor to customers, partners, and the solutions architects on the team.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior