Senior Principal Software Engineer - AI Infrastructure Innovation

Oracle Cloud Infrastructure's (OCI) Gpu Platform Software & System Development Engineer

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:

• Evaluation of system architecture and proposed implementation path analysis.
• Work directly with hardware design and development teams on architecture, implementation, development, deployment, and troubleshooting of AI hardware platforms.
• Collaboration is also expected with the wider Oracle engineering and operations functional groups as well as our external partners.
• Conduct comprehensive benchmarking and performance analysis of AI accelerators from emerging hardware vendors.
• Compare and contrast new AI accelerators with industry-standard hardware.
• Develop tools and processes for evaluating the performance of hardware in real-world AI applications.
• Contribute to the design and improvement of performance optimization algorithms for AI models running on the hardware.

Basic Qualifications:

• BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience.
• 10+ years of total experience in software development.
• Demonstrated ability to write great code using Java, GoLang, C#, or similar OO languages.
• Solid knowledge of AI / GPU platform architecture and their capabilities.
• Experience working on large-scale, highly distributed services infrastructure.
• Solid working experience with GPU supplier test code as well as open-source AI test / characterization tools.
• Experience with the architecture, design, and implementation of modern server platforms consisting of multiple architectures and vendors, including x86 and ARM server architectures.
• Demonstrated experience debugging and root-causing complex issues that may have a mix of hardware and software causes.
• Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.

Preferred Qualifications:

• Experience as technical lead on a large-scale cloud service.
• Hands-on experience developing and maintaining services on a public cloud platform.
• Experience with AI accelerator chips.
• Knowledge of AI accelerator benchmarks and tools for performance evaluation.
• Understanding of AI model optimization techniques for hardware acceleration.
• Strong understanding and experience running firmware and system diagnostics tools using BMC firmware, UEFI/ BIOS and Linux tools.
• Skilled in scripting to customize tests.

Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only.

US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following:

• Medical, dental, and vision insurance
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance
• Health care and dependent care Flexible Spending Accounts
• Pre-tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• Paid time off
• Paid holidays
• Paid sick leave
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.