Senior AI Solutions Architect - Cloud GPUs

NVIDIA Corporation; California; On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking an experienced Solutions Architect to serve as a trusted technical advisor, bridging design to deployment of large-scale AI/HPC GPU infrastructure. You will own end-to-end integration with strategic customers, delivering GenAI and ML hardware/software while driving adoption and consumption.

Responsibilities include collaborating with partners and internal teams, conducting technical meetings, and developing reference architectures.

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 roles with customers and partners.
• Experience crafting and deploying large-scale cluster environments and distributed cloud architectures.
• Strong programming fundamentals, especially Python, with DL frameworks like PyTorch/TensorFlow.

Responsibilities

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver hardware and software solutions.
• Partner with SAs, Account Managers, Engineering, and product leaders to align on strategies and opportunities.
• Be the primary technical driver for customers during design, development, and deployment of GPU Cloud infrastructure.
• Conduct regular technical customer meetings for project details and debugging sessions.
• Work with customers to adopt NVIDIA solutions including PoCs to meet key business needs.
• Prepare and deliver technical content to customers through presentations, workshops, and reference architectures.

Skills

Python

Deep Learning

Communication

Project management

Education

BS/MS/PhD in Electrical/Computer Engineering or related field

Tools

PyTorch

TensorFlow

NVIDIA CUDA-X

Job description

NVIDIA Corporation is seeking an experienced Solutions Architect to serve as a trusted technical advisor, bridging design to deployment of large-scale AI/HPC GPU infrastructure. You will own end-to-end integration with strategic customers, delivering GenAI and ML hardware/software while driving adoption and consumption.

Responsibilities include collaborating with partners and internal teams, conducting technical meetings, and developing reference architectures.