Senior GenAI Cloud Solutions Architect

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. You will drive adoption by integrating libraries, frameworks, models, and software applications across production environments.

Ideal candidates have a strong background in Deep Learning, LLMs, and GPU technologies, with 10+ years in solution engineering and hands-on experience deploying distributed cloud architectures.

Qualifications

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

Responsibilities

• Collaborate with customers to design, implement, and deliver GPU cloud infrastructure and applications.
• Lead technical engagements across the customer lifecycle and coordinate with cross-functional teams.
• Deliver technical content: presentations, workshops, reference architectures, tutorials.

Skills

Python

Deep learning

PyTorch

TensorFlow

Education

Electrical/Computer Engineering

Computer Science

Physics

Mathematics

Tools

CUDA-X

NVIDIA Triton

TensorRT

Job description

NVIDIA Corporation is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. You will drive adoption by integrating libraries, frameworks, models, and software applications across production environments.

Ideal candidates have a strong background in Deep Learning, LLMs, and GPU technologies, with 10+ years in solution engineering and hands-on experience deploying distributed cloud architectures.