Director, Core Infrastructure Engineering

Location: Nashville, TN, United States

Here at OCI we’re building the world’s largest AI clusters and we’re the fastest at bringing them to the market. The AI Infrastructure organization at OCI is leading this effort by creating a GPU focused cloud with the latest hardware providing the best performance, efficiency, reliability, and scalability. This is your chance to be part of the AI revolution by creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance. You will have the opportunity to work with cutting-edge technologies and make a significant impact on our organization's success.

We are looking for an engineering Director to lead software teams responsible for developing GPU control plane and scaling AI infrastructure. This includes providing customer APIs and workflows to manage latest Baremetal GPU capacity through New Product integration, configuring NVLink domains, managing compute clusters, repairs and firmware for AI workloads. In this role, you will set and communicate priorities and expectations to multiple teams led by senior managers and strong lead developers working on cutting-edge technologies. You will collaborate with cross-functional teams to enhance our AI infrastructure to deliver exceptional customer experience. 

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Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

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We are looking for an engineering Director to lead multiple software teams responsible for developing GPU control plane and scaling AI infrastructure. This includes providing customer APIs and workflows to manage latest Baremetal GPU capacity through New Product integration, configuring NVLink domains, managing compute clusters, repairs and firmware for AI workloads.