Drimva

NVIDIA

Manager, Solutions Architecture — Oracle AI Software

$224K–$431K

US, CA, Santa Clara · Manager · Full-time · Posted Oct 13, 2026

Experience
At least 10 years in a technical role, with a minimum of 4 years leading people or complex technical projects.
Education
BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.

About the job

Leads a Solutions Architecture team and drives the integration, deployment, and optimization of NVIDIA AI software and models across Oracle platforms and customer solutions.

What you'll do

  • Lead, mentor, and develop Solutions Architects.
  • Partner with Oracle teams to define AI architectures and guide technical engagements from discovery through production.
  • Optimize model serving and support customer adoption through technical guidance and engagement.

What they ask for

  • BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
  • At least 10 years of technical experience, including at least 4 years leading people or complex technical projects.
  • Expertise in generative AI, including large language models, model evaluation, and deployment of open-weight models.
  • Practical experience with AI inference, model serving, performance optimization, accelerated computing, and agentic AI applications.

Nice to have

  • Experience with Oracle, Oracle Cloud Infrastructure, or Oracle enterprise software.
  • Experience leading customer-facing Solutions Architecture or engineering teams; hands-on NVIDIA AI software, GPU acceleration, or production inference experience.

Pay

224,000 USD - 356,500 USD (base salary, Level 3); 272,000 USD - 431,250 USD (base salary, Level 4)

Tools

NVIDIA’s AI software stack, open-weight models, large language models, AI inference, model serving, accelerated computing infrastructure, Oracle Cloud Infrastructure

AI focus

Leads integration and adoption of generative AI, inference, open-weight models, and agentic AI; guides deployment and optimizes model serving for enterprise workloads.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)