Senior GenAI Solutions Architect - GPU Cloud Platforms

NVIDIA Corporation; Maryland; Hybrid; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks an experienced Solutions Architect to bridge design to deployment of large-scale AI/HPC GPU infrastructure. You will drive technical engagements, integrate libraries and models, and deliver GenAI and ML platforms to production for strategic customers and partners.

You will collaborate with cloud partners, engineers, and business leaders to secure opportunities, own end-to-end solution integration, and guide multi-disciplinary teams throughout the customer lifecycle.

Qualifications

• 15+ years of Solution Engineering or similar roles including direct partner/customer work.
• Experience crafting and deploying large-scale cluster environments and distributed cloud architectures.
• Strong fundamentals in programming and software design, especially Python and DL frameworks.
• Proven ability to own complex, multi-disciplinary technical engagements with customers.
• Excellent presentation, communication and collaboration skills.

Responsibilities

• Collaborate with partners to design, implement, and deliver NVIDIA hardware and software solutions.
• Align with various teams to assess technical needs and secure business opportunities.
• Serve as the primary technical driver for GPU Cloud infrastructure projects across the lifecycle.
• Lead technical customer meetings for project details, feature discussions, and debugging.
• Develop and deliver technical content including presentations, workshops, and reference architectures.
• Support customers in PoCs to address infrastructure, libraries, and applications.

Skills

Deep Learning

Python

GPU architectures

Communication

Education

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

Tools

NVIDIA CUDA

NCCL

SLURM

Kubernetes

Job description

NVIDIA seeks an experienced Solutions Architect to bridge design to deployment of large-scale AI/HPC GPU infrastructure. You will drive technical engagements, integrate libraries and models, and deliver GenAI and ML platforms to production for strategic customers and partners.

You will collaborate with cloud partners, engineers, and business leaders to secure opportunities, own end-to-end solution integration, and guide multi-disciplinary teams throughout the customer lifecycle.