Senior AI Cloud Solutions Architect (GPU/ML)

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks an experienced Solutions Architect to bridge design to deployment of large-scale AI/HPC GPU infrastructure. You will drive integration of libraries, frameworks, models, and software to production, collaborating with partners and cross-functional teams across NVIDIA.

The role requires 10+ years in solution engineering, deep learning experience, and hands-on skills with distributed cloud architectures. It offers equity, benefits, and opportunities to work on cutting-edge GPU platforms.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, CS, Physics, Mathematics, or related field or equivalent experience.
• 10+ years of Solution Engineering or related roles with partners and customers.
• Experience crafting and deploying large-scale cluster environments and distributed cloud architectures.
• Strong programming fundamentals and experience with Python and DL frameworks (PyTorch, TensorFlow).

Responsibilities

• Collaborate with partners to create and deliver NVIDIA hardware and software solutions.
• Align with stakeholders to identify technical needs and secure opportunities.
• Lead as the primary technical driver for design, development, and production of GPU Cloud infrastructure.
• Conduct regular technical meetings to discuss project details and debug sessions.
• Work with customers to build and adopt NVIDIA solutions including PoCs.
• Prepare technical content: presentations, workshops, reference architectures, tutorials.

Skills

Python

Deep Learning

Cloud Architecture

Presentation Skills

Customer Engagement

Education

Advanced degree in Eng/CS/Math

Tools

NVIDIA GPUs

NVIDIA CUDA-X

NCCL

SLURM

Kubernetes

Job description

NVIDIA seeks an experienced Solutions Architect to bridge design to deployment of large-scale AI/HPC GPU infrastructure. You will drive integration of libraries, frameworks, models, and software to production, collaborating with partners and cross-functional teams across NVIDIA.

The role requires 10+ years in solution engineering, deep learning experience, and hands-on skills with distributed cloud architectures. It offers equity, benefits, and opportunities to work on cutting-edge GPU platforms.