Manager, Solutions Architecture — Oracle AI Software

Description

We are looking for a candidate to join NVIDIA’s dynamic team as a Manager, Solutions Architecture for Oracle AI Software. Here, you will partner with world-class talent to encourage the integration of NVIDIA’s AI software stack and innovative technologies throughout Oracle. This opportunity is distinctively placed to impact the future of AI solutions and boost Oracle's AI capabilities. If you are enthusiastic about generative AI, inference, and agentic AI, and have shown the ability to guide technical teams, this role is perfect for you!

What you’ll be doing:

Leading and developing a high-performing team of Solutions Architects. You will prioritize tasks, provide technical mentoring, and develop an inclusive, collaborative environment.

Leading the integration and adoption of NVIDIA’s AI software stack and open-weight models within Oracle’s platforms, services, and customer solutions.

Working together with Oracle engineering and product leaders to define architectures and integration strategies for generative AI, inference, and agentic AI.

Guiding technical engagements from discovery through to production deployment, aligning achievements, resolving technical challenges, and measuring success.

Optimizing model serving for performance, latency, efficiency, scalability, and cost across enterprise workloads.

Engaging with Oracle customers to understand business needs, demonstrate technical value, and guide adoption through workshops, architecture reviews, and executive discussions.

Collaborating with NVIDIA teams to bring customer feedback into product decisions and align efforts with business priorities.

What we need to see:

BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.

At least 10 overall years of experience in a technical role, with a minimum of 4 years leading people or complex technical projects.

Strong technical 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, and deploying workloads on accelerated computing infrastructure.

Experience building or deploying agentic AI applications, with an understanding of retrieval, tool use, orchestration, and evaluation.

Demonstrated skill in guiding technical teams, advising engineers, and completing projects that span multiple departments.

Excellent communication and interpersonal capabilities, enabling the simplification of complex technical concepts for engineers, customers, and senior management.

A customer-focused method with the ability to convert business needs into technical strategies and operational solutions.

Ways to Stand Out from the Crowd:

Experience working with Oracle, Oracle Cloud Infrastructure, or Oracle’s suite of enterprise software.

Experience leading a customer-facing Solutions Architecture or engineering team.

Hands-on experience with NVIDIA’s AI software stack, GPU acceleration, and production inference technologies.

A track record of driving technology adoption through strategic partnerships, joint engineering, or enterprise customer engagements.

Demonstrated success in optimizing AI workloads using benchmarks and achieving measurable improvements in performance, reliability, or cost.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

Responsibilities

• Applications for this job will be accepted at least until October 17, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.