Senior AI Solutions Architect - GPU Cloud & GenAI

NVIDIA Corporation; United States; Presencial; USD 184.000 - 357.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Benefits

Descripción de la vacante

NVIDIA Corporation in the United States seeks an experienced Solutions Architect to bridge design to deployment of large-scale AI / HPC GPU infrastructure. Deliver GenAI, AI, and ML hardware/software to production with strategic customers and partners.

You will own end-to-end technology solution integration, collaborate with partners and cross-functional teams, and drive technical engagements across the full customer lifecycle. Travel up to 40% may be required.

Formación

• BS/MS/PhD in Electrical/Computer Engineering, CS, Physics, Mathematics or related field.
• 6+ years of Solution Engineering or similar roles with partners and customers.
• Experience deploying large-scale GPU/AI infrastructure.
• Proficiency in Python and DL frameworks (PyTorch, TensorFlow).
• Strong customer-facing and presentation skills.
• Experience with SLURM, Kubernetes, cloud and on-prem environments.

Responsabilidades

• Collaborate with partners to deliver NVIDIA hardware and software solutions.
• Align with teams to secure opportunities and define technical needs.
• Lead design, development, and production deployment of GPU Cloud infra.
• Conduct regular technical meetings, demos, and debugging sessions.
• Develop PoCs and reference architectures for customers.
• Create and deliver technical content and workshops.

Conocimientos

Python

Deep Learning

Public speaking

Cloud architectures

Customer-facing

Educación

BS/MS/PhD in Electrical/CS/Physics/Math or related field

Herramientas

PyTorch

TensorFlow

CUDA-X

Descripción del empleo

NVIDIA Corporation in the United States seeks an experienced Solutions Architect to bridge design to deployment of large-scale AI / HPC GPU infrastructure. Deliver GenAI, AI, and ML hardware/software to production with strategic customers and partners.

You will own end-to-end technology solution integration, collaborate with partners and cross-functional teams, and drive technical engagements across the full customer lifecycle. Travel up to 40% may be required.