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