Senior GPU Cloud Solutions Architect – GenAI & HPC

Socket.dev; 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 and deployment of large-scale AI/HPC GPU infrastructure, delivering GenAI and ML solutions to production partners and customers.

You will lead end-to-end technical engagements, collaborate across teams, and guide PoCs, reference architectures, and deployments across cloud and on‑prem environments. A senior background in deep learning, Python, and CUDA‑based tools is essential.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
• 15+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
• Experience crafting and deploying large-scale cluster environments, hands‑on experience designing, developing, delivering distributed Cloud architectures.
• Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
• Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
• Motivation and skills to own and drive complex multi‑disciplinary technical engagements with customers throughout the full customer lifecycle and cross‑functional teams.
• Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.
• Self‑starter with a passion for growth, continuous learning, and sharing insights.

Responsibilities

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
• Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
• Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
• Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
• Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
• Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

Skills

Deep Learning

Python

PyTorch

TensorFlow

GPU Architectures

ML Ops

Education

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

Tools

NVIDIA CUDA-X

NCCL

DCGM

Kubernetes

Job description

NVIDIA seeks an experienced Solutions Architect to bridge design and deployment of large-scale AI/HPC GPU infrastructure, delivering GenAI and ML solutions to production partners and customers.

You will lead end-to-end technical engagements, collaborate across teams, and guide PoCs, reference architectures, and deployments across cloud and on‑prem environments. A senior background in deep learning, Python, and CUDA‑based tools is essential.