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GPU/CPU Systems Engineer

Oracle

10 - 12 years

San Francisco

Posted: 20/06/2026

Job Description

Oracle hardware platform development engineering is seeking a highly driven GPU/CPU Platform System Engineer at the Principal Engineer level. The GPU System Engineer will work within development engineering with a small team of talented engineers who lead the development and day-to-day engineering efforts for Oracle’s rapidly growing and successful Cloud AI platforms. You will participate in platform definition, platform development oversight as well as in house development, design reviews, system integration, performance testing and characterization. You will interact closely with third party GPU IC suppliers & partners as well as internal hardware and software development teams to help drive Oracle’s AI Cloud platform solution space. You will be a critical part of the team developing Oracle’s growing Cloud AI solutions. The team you will be joining has delivered the first and second generation of Oracle Cloud dedicated compute, AI platforms, and is working to build out the next generation of Cloud and Enterprise systems, with record breaking-performance, security, and world class quality, using the latest and greatest merchant silicon and technologies.

 

Oracle Cloud Infrastructure (OCI) is looking for a visionary Systems Engineer to lead innovation in AI hardware and datacenter infrastructure. In this high-impact role, you'll guide the development of emerging technologies in compute accelerators, virtualization, networking, energy systems, and AI infrastructure. Your work will directly influence OCI’s long-term architectural direction and help shape the future of cloud infrastructure.

About Company

Oracle Corporation is a global technology company best known for its enterprise software products and cloud solutions. It specializes in database management systems, cloud infrastructure, enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management software. Oracle helps organizations of all sizes manage, store, and analyze data efficiently, offering both on-premise and cloud-based solutions.

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