Senior AI Cloud Solutions Architect - GPU & GenAI

Socket.dev; Santa Clara (UT); On-site; USD 184,000 - 288,000; Full time

Job summary

NVIDIA seeks an experienced Solutions Architect to bridge design to deployment of large-scale AI/HPC GPU infrastructure. Own end-to-end integration of libraries, frameworks, models, and software for production deployments with strategic customers and partners.

You will drive technical engagements, deliver product strategy recommendations, and lead cross-functional teams across lifecycle, with emphasis on Deep Learning, LLMs, and GPU technologies.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, CS, Physics, Mathematics, or related field.
• 10+ years of Solution Engineering or related roles with partners and customers.
• Experience deploying large-scale cluster environments and distributed Cloud architectures.
• Strong programming fundamentals including Python and DL frameworks.
• Experience deploying models and integrating software stacks for GPU platforms.
• Excellent communication and cross-functional collaboration skills.
• Self-starter with growth mindset and eagerness to learn.

Responsibilities

• Collaborate with partners to deliver NVIDIA hardware/software solutions.
• Partner with stakeholders to align strategies and opportunities.
• Serve as primary technical driver for GPU cloud infra projects across the lifecycle.
• Lead technical meetings on features, deployments, and technical details.
• Build PoCs and adopt NVIDIA solutions for infrastructure and applications.
• Prepare and deliver technical content: presentations, tutorials, reference architectures.

Skills

Solution Engineering

Cloud Infrastructure

Customer-facing

Project management

Verbal communication

Education

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

Tools

Python

PyTorch

TensorFlow

NVIDIA CUDA

Kubernetes

SLURM

NCCL

DCGM

NVIDIA Triton

NVIDIA NeMo

Job description

NVIDIA seeks an experienced Solutions Architect to bridge design to deployment of large-scale AI/HPC GPU infrastructure. Own end-to-end integration of libraries, frameworks, models, and software for production deployments with strategic customers and partners.

You will drive technical engagements, deliver product strategy recommendations, and lead cross-functional teams across lifecycle, with emphasis on Deep Learning, LLMs, and GPU technologies.