Senior AI Solutions Architect — GPU Cloud Infra

NVIDIA Corporation; United States; Remote; USD 184,000 - 288,000; Full time

Job summary

NVIDIA Corporation is seeking an experienced Solutions Architect to serve as a trusted technical advisor and drive end-to-end integration of large-scale AI/HPC GPU infrastructure with strategic customers and partners.

You will lead design-to-deployment for GPU cloud platforms, collaborating with partners, SAs, PMs, and engineers to scope, architect, and deliver production-grade AI workloads, inference, and training at scale.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
• 10+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
• Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
• Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
• Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
• Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.
• Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.
• Self-starter with a passion for growth, continuous learning, and sharing insights.

Responsibilities

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
• Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
• Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
• Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
• Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
• Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

Skills

Solution Engineering

Deep Learning

Python

DL frameworks

Customer Engagement

Cloud Infra

GPU Architecture

Distributed Systems

Kubernetes

SLURM

Education

Engineering degree

Tools

Kubernetes

SLURM

Job description

NVIDIA Corporation is seeking an experienced Solutions Architect to serve as a trusted technical advisor and drive end-to-end integration of large-scale AI/HPC GPU infrastructure with strategic customers and partners.

You will lead design-to-deployment for GPU cloud platforms, collaborating with partners, SAs, PMs, and engineers to scope, architect, and deliver production-grade AI workloads, inference, and training at scale.