NVIDIA
Senior Solutions Architect, Supercomputing
$184K–$356K
US, IL, Remote +2 · Senior · Full-time · Posted Oct 14, 2026
- Location
- US, IL, Remote
US, TX, Remote
US, CA, Santa Clara - Experience
- 8+ years of work-related experience in data science or software development; no alternatives stated.
- Education
- Bachelor’s degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
- Visa sponsorship
- Requires a security clearance and U.S. citizenship.
About the job
Advises customers and partners on designing and adopting NVIDIA AI, HPC, GPU, and networking solutions, while collaborating with internal teams and educating others.
What you'll do
- Define and deliver technical solutions aligned with customer goals; serve as a trusted technical advisor to customers, partners, and the solutions architect team.
- Create and share technical materials, such as samples, white papers, blogs, and wiki articles, and help customers solve technical problems.
- Guide integration of NVIDIA technology into AI workloads, HPC, and enterprise GPU and networking architectures; partner with strategic customers and solution partners.
What they ask for
- 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 with modern application deployment practices, including Slurm, Docker/Containers, and Kubernetes.
- Experience with modern Generative AI and Agentic AI architecture and frameworks.
Nice to have
- Experience applying data science to industry problems; using GPGPU programming and design practices; CUDA programming and optimization; or network software development.
- Published technical thought leadership or industry record in areas such as Deep Neural Network, Machine Learning R&D, Agentic AI, surrogate Models, or foundation models.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Slurm, Docker/Containers, Kubernetes, CUDA
AI focus
Supports customer adoption of AI workloads and workflows, including Generative AI, Agentic AI, machine learning, foundation modeling, and related applications.
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