AI/ML Solutions Architect - Hyperscale Cloud & GPUs Equity

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking an AI/ML Solutions Architect focusing on hyperscale customers and cloud service providers. Your primary responsibilities will be to lead software customer technical engagement for AI training, inference and infrastructure deployed at vast scale.

You will work across NVIDIA and customer teams to secure design wins, enable production deployments, and translate customer constraints into actionable product requirements and innovative solutions.

Qualifications

• Minimum a BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
• 8+ years of engineering experience in AI/ML‑focused projects or enterprise‑grade solutions.
• Proven understanding of Linux, including solving, optimization, and customization for AI/ML workloads.
• Proficient in Python, with the ability to develop scripts and build custom tools.

Responsibilities

• Lead technical engagements for AI training, inference, and scalable deployments.
• Be the main NVIDIA contact for hyperscale customers and cloud providers.
• Lead workshops, demos, and proofs‑of‑concepts to showcase capabilities.
• Translate customer insights into product requirements and solutions.

Skills

Python

CUDA

Linux

AI/ML

Communication

Education

BS/MS in Computer Science or Electrical Engineering

Tools

Docker

Kubernetes

PyTorch

JAX

Job description

NVIDIA is seeking an AI/ML Solutions Architect focusing on hyperscale customers and cloud service providers. Your primary responsibilities will be to lead software customer technical engagement for AI training, inference and infrastructure deployed at vast scale.

You will work across NVIDIA and customer teams to secure design wins, enable production deployments, and translate customer constraints into actionable product requirements and innovative solutions.