Senior AI Cloud Solutions Architect

NVIDIA

Colorado

On-site

USD 152,000 - 287,500

Full time

14 days+

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Job summary

NVIDIA is seeking a senior Solution Engineer to drive technical engagements with partners and customers, leading design and deployment of GPU Cloud infrastructure and applications. You will collaborate across engineering, product, and sales to deliver scalable cluster environments and reference architectures, with emphasis on Python and DL frameworks.

Expect travel up to 40% and ongoing discovery of new NVIDIA solutions.

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 crafting and deploying large-scale cluster environments and distributed cloud architectures.
  • Strong programming fundamentals and software design, esp. Python and DL frameworks.
  • Ability to drive complex technical engagements across cross-functional teams.
  • Excellent presentation, communication and collaboration skills.

Responsibilities

  • Collaborate with partners to design and deliver NVIDIA hardware/software solutions.
  • Align with account teams to assess needs and secure opportunities for NVIDIA.
  • Serve as the technical driver during design, build, and production of GPU Cloud infra.
  • Lead technical customer meetings and workshops on features and best practices.
  • Create and present content including architectures, tutorials, and demos.
  • Travel up to 40% as required to engage with customers.

Skills

Python
DL frameworks
Solution engineering
Customer facing
Engagement management

Education

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

Tools

SLURM
Kubernetes (K8s)
NVIDIA CUDA-X

Job description

NVIDIA is seeking a senior Solution Engineer to drive technical engagements with partners and customers, leading design and deployment of GPU Cloud infrastructure and applications. You will collaborate across engineering, product, and sales to deliver scalable cluster environments and reference architectures, with emphasis on Python and DL frameworks.

Expect travel up to 40% and ongoing discovery of new NVIDIA solutions.

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