Senior Solutions Architect — AI GPU Cloud Platforms

Visa Hunt; United States; On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks an experienced Solutions Architect to bridge design and deployment of large-scale AI/HPC GPU infrastructure in the United States. You will drive outtake and consumption by integrating libraries, frameworks, models, and software applications, delivering GenAI and ML solutions to production for strategic customers.

You will own end-to-end technology solution integration with partners, advise on product strategy from feedback, and lead multi-disciplinary technical engagements in a

Qualifications

• 15+ years of Solutions Engineering or similar roles with partners and customers.
• Experience crafting and deploying large-scale cluster environments.
• Strong fundamentals in Python and DL frameworks (PyTorch, TensorFlow).
• Experience deploying models and integrating software stacks to drive GPU consumption.
• Ability to lead multi-disciplinary technical engagements end-to-end.
• Excellent presentation and collaboration skills.

Responsibilities

• Collaborate with partners to design and deliver NVIDIA hardware/software solutions.
• Align strategies with SAs, Account Managers, Engineering, and business leaders.
• Drive technical engagement through design, development, deployment, and production of GPU Cloud infrastructure.
• Lead customer meetings for project details, tech discussions, and demos.
• Build and adopt NVIDIA solutions including PoCs addressing infrastructure and apps.
• Create and share technical content: presentations, workshops, architectures, tutorials.

Skills

Python

Deep Learning

PyTorch

TensorFlow

Communication

Education

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

Tools

NVIDIA CUDA-X

NCCL

SLURM

Kubernetes

TensorRT

Job description

NVIDIA seeks an experienced Solutions Architect to bridge design and deployment of large-scale AI/HPC GPU infrastructure in the United States. You will drive outtake and consumption by integrating libraries, frameworks, models, and software applications, delivering GenAI and ML solutions to production for strategic customers.

You will own end-to-end technology solution integration with partners, advise on product strategy from feedback, and lead multi-disciplinary technical engagements in a