Senior AI/GPU Solutions Architect — Cloud & GenAI

NVIDIA; Virginia (MN); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced Solutions Architect to bridge design to deployment of large-scale AI/GPU infrastructure, guiding customers from concept to production. You will collaborate with partners and cross-functional teams to deliver GenAI, AI, and ML solutions that scale across industries.

Ideal candidates have deep DL expertise, hands-on GPU platform experience, and a proven ability to drive multi-disciplinary technical programs with customers and stakeholders.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or related field.
• 10+ years of Solution Engineering or similar roles with partner/customer engagement.
• Experience deploying large-scale cluster environments and distributed Cloud architectures.
• Strong programming and software design fundamentals, especially Python and DL frameworks (PyTorch, TensorFlow).
• Hands-on experience fine-tuning and deploying models, integrating software stacks to drive GPU consumption.
• Ability to lead complex multi-disciplinary technical engagements with customers and teams.

Responsibilities

• Collaborate with partners to design, implement, and deliver NVIDIA hardware/software solutions.
• Partner with SAs, Account Managers, Eng, Product and leaders to align on strategies and opportunities.
• Be the primary technical driver from design to production of GPU Cloud infra and apps throughout the customer lifecycle.
• Conduct regular technical meetings for project details, feature discussions, and debug sessions.
• Build PoCs and guide customers in adopting NVIDIA solutions for infrastructure, libraries, and apps.
• Prepare and deliver technical content including presentations, workshops, reference architectures, tutorials.

Skills

Python

Deep Learning

GPU

Distributed systems

Education

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

Tools

PyTorch

TensorFlow

SLURM

Kubernetes

NCCL

Job description

NVIDIA is seeking an experienced Solutions Architect to bridge design to deployment of large-scale AI/GPU infrastructure, guiding customers from concept to production. You will collaborate with partners and cross-functional teams to deliver GenAI, AI, and ML solutions that scale across industries.

Ideal candidates have deep DL expertise, hands-on GPU platform experience, and a proven ability to drive multi-disciplinary technical programs with customers and stakeholders.