Senior AI Solutions Architect - GPU Cloud & GenAI

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

Job summary

NVIDIA seeks an experienced Solutions Architect to act as a trusted technical advisor, bridging design to deployment of large-scale AI/HPC GPU infrastructure. You will drive consumption by integrating libraries, frameworks, models, and software applications, delivering GenAI and ML hardware/software to production with strategic customers.

You will collaborate with partners and internal teams to design and deploy GPU Cloud infrastructure, lead technical discussions, and ensure successful customer

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 equivalent.
• Experience deploying large-scale cluster environments and distributed Cloud architectures.
• Strong programming fundamentals in Python and DL frameworks (PyTorch, TensorFlow).
• Ability to drive multi-disciplinary technical engagements with customers.

Responsibilities

• Collaborate with partners to deliver NVIDIA hardware and software solutions.
• Align with engineers, product, and business leaders to secure opportunities.
• Lead technical design, development, and production integration of GPU Cloud infrastructure.
• Conduct technical meetings for project details and new technology introductions.
• Build and adopt NVIDIA solutions including PoCs addressing infrastructure and apps.

Skills

Python

PyTorch

TensorFlow

Distributed systems

Communication

Education

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields

Tools

SLURM

Kubernetes

NCCL

DCGM

Job description

NVIDIA seeks an experienced Solutions Architect to act as a trusted technical advisor, bridging design to deployment of large-scale AI/HPC GPU infrastructure. You will drive consumption by integrating libraries, frameworks, models, and software applications, delivering GenAI and ML hardware/software to production with strategic customers.

You will collaborate with partners and internal teams to design and deploy GPU Cloud infrastructure, lead technical discussions, and ensure successful customer