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# Senior Solutions Architect, Supercomputing

- **Company:** NVIDIA Ltd.
- **Location:** Springfield, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Nvidia CUDA, Computer Programming, Computer Networks, General-Purpose Computing on Graphics Processing Units, Machine Learning, Software Deployment, Software Engineering, Supercomputing, Graphics Processing Unit (GPU), Parallel Computation, Generative AI, Agentic-AI, Kubernetes, Information Technology, Slurm, Docker
- **Published:** October 28, 2026
- **Apply:** https://www.juju.com/job/1_ScrapingHub33470-JR2015929

## About the Role

Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.
What we need to see: + 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 but not limited to Slurm, Docker/Containers, and Kubernetes. + Experience with modern Generative AI and Agentic AI architecture and frameworks. + Strong written and oral communication skills with the ability to effectively collaborate with accounts, customers, management, and engineering.
A big part of this role is educating our customers, whether that be through product roadmaps/presentations/briefings or hands-on engagement with developers. + 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.
Ways to stand out from the crowd: + Experience applying data science to industry problems. + Experience using GPGPU programming and design practices. + CUDA programming and optimization experience. + Experience with network software development. + Experience with AI: Published record of thought leadership in a technical area or industry segment - Deep Neural Network, Machine Learning R&D - Agentic AI, surrogate Models, or foundation models.