Senior AI Solutions Architect: GPU Cloud & GenAI

NVIDIA; New York (NY); Hybrid; USD 184,000 - 287,500; 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 New York. Drive adoption by integrating libraries, frameworks, models, and software across production environments for GenAI and ML workloads.

You will own end‑to‑end technology solution integration with strategic customers, collaborating across engineering, product, and sales teams. A strong background in Deep Learning, GPU technologies, and distributed systems is

Qualifications

• 10+ years of Solution Engineering or similar roles with direct partner/customer experience.
• Experience crafting and deploying large‑scale cluster environments and distributed Cloud architectures.
• Strong programming fundamentals and software design, especially Python and DL frameworks.
• Proven ability to guide multi‑disciplinary technical engagements across customer lifecycles.
• Excellent presentation, communication and collaboration skills.
• Self‑starter with growth mindset and ability to learn quickly.

Responsibilities

• Collaborate with partners to create and deliver NVIDIA hardware and software solutions.
• Align with cross‑functional teams to secure opportunities and strategy.
• Lead technical design and deployment of GPU Cloud infrastructure and apps for customers.
• Conduct regular technical meetings to discuss project details and new technologies.
• Build and adopt NVIDIA solutions including PoCs to address business needs.
• Prepare and deliver technical content, tutorials, and reference architectures.

Skills

Python

Deep Learning

Distributed Systems

Customer facing

Education

BS/MS/PhD in Electrical/Computer Engineering or CS

Tools

CUDA

NVIDIA TensorRT

Kubernetes

SLURM

Job description

NVIDIA seeks an experienced Solutions Architect to bridge design and deployment of large-scale AI/HPC GPU infrastructure in New York. Drive adoption by integrating libraries, frameworks, models, and software across production environments for GenAI and ML workloads.

You will own end‑to‑end technology solution integration with strategic customers, collaborating across engineering, product, and sales teams. A strong background in Deep Learning, GPU technologies, and distributed systems is