Oracleposted 17 days ago
Principal
Seattle, WA

About the position

Oracle Cloud Infrastructure’s (OCI) architecture development engineering team is seeking a highly driven GPU platform software & system development engineer at the Principal Engineer level. We are at the forefront of AI innovation, exploring the next generation of AI accelerators and hardware solutions. As a Senior Principal software engineer, part of our growing team, you will be involved in evaluation, prototyping, and optimizing cutting-edge AI hardware, AI accelerators, including custom-designed AI chips and systems and software to drive next-gen Cloud AI Infrastructure platforms. You will contribute to 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 Infra solutions. You will work with the latest AI hardware architectures, benchmark their performance, and collaborate with software engineers to ensure tight integration with AI workloads. You’ll have a direct impact on shaping the future of AI hardware for machine learning and deep learning applications.

Responsibilities

  • Evaluate and prototype cutting-edge AI hardware and accelerators.
  • Optimize AI hardware and software for next-gen Cloud AI Infrastructure platforms.
  • Contribute to platform definition and development oversight.
  • Conduct design reviews and system integration.
  • Perform performance testing and characterization of AI systems.
  • Collaborate with third-party GPU IC suppliers and partners.
  • Work closely with internal hardware and software development teams.

Requirements

  • Proven experience in software engineering and system development at a principal engineer level.
  • Strong background in AI hardware architectures and accelerators.
  • Experience with performance benchmarking of AI hardware.
  • Ability to collaborate effectively with cross-functional teams.
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