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NVIDIA

Designs the chips and software that power AI

Manager, Solutions Architecture - Oracle AI Software

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
  • At least 10 years of overall 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.
  • Ability to simplify complex technical concepts for engineers, customers, and senior management.
  • Ability to convert business needs into technical strategies and operational solutions.

Responsibilities

  • Lead and develop a high-performing team of Solutions Architects by prioritizing tasks, providing technical mentoring, and developing an inclusive, collaborative environment.
  • Lead integration and adoption of NVIDIA’s AI software stack and open-weight models within Oracle’s platforms, services, and customer solutions.
  • Work with Oracle engineering and product leaders to define architectures and integration strategies for generative AI, inference, and agentic AI.
  • Guide technical engagements from discovery through production deployment, align achievements, resolve technical challenges, and measure success.
  • Optimize model serving for performance, latency, efficiency, scalability, and cost across enterprise workloads.
  • Engage with Oracle customers to understand business needs, demonstrate technical value, and guide adoption through workshops, architecture reviews, and executive discussions.
  • Collaborate with NVIDIA teams to bring customer feedback into product decisions and align efforts with business priorities.

Desired Qualifications

  • 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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