Senior AI/ML Cloud Solutions Architect

NVIDIA; Baltimore (MD); On-site; USD 272,000 - 431,000; Full time

Job summary

NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI/GPU infrastructure in the United States. You will own end-to-end technology solution integration with strategic customers and provide product strategy feedback.

You will collaborate with cloud partners, engineers, and business leaders to align on strategies, deliver GenAI/ML hardware and software, and drive adoption across customer lifecycles.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
• 15+ years of Solutions Engineering or similar roles including experience with partners and customers.
• Experience crafting and deploying large-scale cluster environments and distributed Cloud architectures.
• Strong fundamentals in programming and software design, especially Python and Deep Learning frameworks (PyTorch, TensorFlow).
• Experience deploying models and integrating software stacks to drive GPU platform consumption.
• Ability to own complex multi-disciplinary technical engagements and collaborate across cross-functional teams.

Responsibilities

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver hardware and software solutions.
• Partner with SAs, Account Managers, Engineering, Product, and leadership to align strategies and secure opportunities.
• Become the primary technical driver for customers during design, development, and production of GPU Cloud infrastructure and applications.
• Conduct regular technical customer meetings for project details, feature discussions, and debugging sessions.
• Build and adopt NVIDIA solutions including PoCs to address critical business needs across infrastructure, libraries, and applications.
• Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

Skills

Python programming

Deep learning frameworks

Distributed systems design

Customer-facing skills

Cloud & on-prem infrastructure

Education

BS/MS/PhD in Electrical/Computer Engineering, CS, Physics, Mathematics

Tools

SLURM

Kubernetes (K8s)

NVIDIA CUDA-X

TensorRT

Job description

NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI/GPU infrastructure in the United States. You will own end-to-end technology solution integration with strategic customers and provide product strategy feedback.

You will collaborate with cloud partners, engineers, and business leaders to align on strategies, deliver GenAI/ML hardware and software, and drive adoption across customer lifecycles.