Senior Solutions Architect, Supercomputing

About the role

NVIDIA is seeking a Solutions Architect to engage with customers, partners, and internal software engineers to support applications and platforms leveraging NVIDIA technology across all industry segments. Solutions Architects at NVIDIA are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software. This role requires becoming a trusted technical advisor and leader to partners and customers who believe deep learning, data science, and artificial intelligence is a new computing revolution with the potential to transform industries. You will also be the trusted advisor for the solutions architects on your team, dynamically engaging with internal developers, scientific researchers, data scientists, IT managers, and senior leaders. This position requires a security clearance and U.S. citizenship.

What You'll Be Doing

• Partner with industry and account teams in a customer-facing role to develop a keen understanding of customer goals, strategies, and technical needs, and help define and deliver high-value solutions meeting these needs.
• Document what you know and teach others—building targeted samples, writing white papers, blogs, and wiki articles, or working through hard problems with customers on a whiteboard.
• Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
• Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA's computing platform.
• Make heavy use of conferencing tools, but some travel is required. Be empowered to find the best way to get your job done and do what it takes to make partners and customers successful.

What We Need To See

• 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 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—educating customers 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 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.

Pay

Base salary range: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.