GenAI Solutions Architect for GPU Cloud & AI Infra

NVIDIA; Town of Texas (WI); On-site; USD 152,000 - 288,000; 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 own end-to-end technology solution integration with strategic customers, driving GenAI, AI, and ML hardware/software to production, including PoCs and reference architectures.

Expect 6+ years in solution engineering, deep learning expertise, and strong Python; travel up to 40% and a base salary that varies by level, with equity and benefits.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or equivalent.
• 6+ years of Solution Engineering or similar roles with partners and customers.
• Experience deploying large-scale cluster environments and distributed Cloud architectures.
• Strong programming and software design fundamentals, esp. Python and DL frameworks (PyTorch, TensorFlow).
• Hands-on capacity to fine-tune and deploy models and drive GPU platform adoption.
• Ability to manage complex multi-disciplinary technical engagements across teams.
• Excellent presentation, communication and collaboration skills.

Responsibilities

• Collaborate with partners to deliver NVIDIA hardware and software solutions.
• Align strategies with SAs, Account Managers, Engineering, Product and leadership.
• Lead technical driver for design, integration, and production of GPU Cloud infra.
• Conduct regular technical customer meetings and discuss features and tech onboarding.
• Work with customers to build and adopt NVIDIA solutions including PoCs.
• Prepare and deliver technical content: presentations, tutorials, reference architectures.
• Travel up to 40% to support engagements.

Skills

Deep Learning

Python

PyTorch

TensorFlow

GPU architectures

Cloud architectures

Presentation

Customer-facing

Education

BS/MS/PhD in EE/CS/Physics/Math

Tools

NVIDIA CUDA-X

NVIDIA Triton

NCCL

DCGM

UFM

Mission Control

Job description

NVIDIA seeks an experienced Solutions Architect to bridge design to deployment of large-scale AI/HPC GPU infrastructure. You will own end-to-end technology solution integration with strategic customers, driving GenAI, AI, and ML hardware/software to production, including PoCs and reference architectures.

Expect 6+ years in solution engineering, deep learning expertise, and strong Python; travel up to 40% and a base salary that varies by level, with equity and benefits.