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Oracle Senior Principal Software Engineer - GPU Cluster Performance and Benchmark Engineering in Boise, Idaho

Job Description

We are seeking a highly skilled and experienced Large GPU Cluster Performance and Benchmark Engineer to join our advanced technology team as a Senior Principal. In this role, you will be responsible for designing, optimizing, and benchmarking large-scale GPU clusters, specifically focusing on running MLPerf benchmarks from MLCommons across thousands of NVIDIA and AMD GPUs. You will play a critical role in optimizing performance, both for AI/ML and compute workloads, as well as ensuring efficient storage solutions.

Why Join Us?

  • Be at the forefront of GPU performance benchmarking and large-scale infrastructure design.

  • Opportunity to work with a highly skilled team of engineers, architects, and thought leaders in the AI/ML and HPC space.

  • Competitive salary and benefits package, with opportunities for growth and development.

If you are a highly motivated and experienced professional with a passion for pushing the boundaries of GPU cluster performance, we encourage you to apply and join our dynamic team!

Career Level - IC5

Responsibilities

Benchmarking and Performance Optimization:

  • Execute and lead the performance benchmarking of large-scale GPU clusters using MLPerf from MLCommons, ensuring optimal performance across thousands of NVIDIA and AMD GPUs.

  • Conduct end-to-end STAC benchmarks, including STAC-M3, STAC-A2, and STAC-AI, for both compute and storage performance, with a focus on low-latency, high-throughput solutions.

Solution Architecture and Design:

  • Design and architect complex solutions that leverage OCI (Oracle Cloud Infrastructure) services for GPU cluster deployments, high-performance computing (HPC), and large-scale AI/ML workloads.

  • Collaborate with cross-functional teams to develop and implement cutting-edge, high-performance GPU cluster architectures that meet rigorous benchmarks and performance requirements.

Leadership and Collaboration:

  • Serve as a thought leader and subject matter expert in GPU cluster performance optimization, benchmarking standards, and cloud-native AI/ML infrastructure.

  • Mentor and guide junior engineers and provide technical leadership in areas related to GPU performance, benchmarking, and solution architecture.

Continuous Improvement and Innovation:

  • Stay abreast of the latest industry trends, research, and developments in GPU performance and benchmarking tools, HPC, and cloud-native AI/ML infrastructures.

  • Drive innovation by recommending and implementing new approaches, technologies, and tools to enhance the performance of large-scale GPU clusters and benchmarking methodologies.

Required Qualifications:

Experience:

  • Proven experience running MLPerf benchmarks from MLCommons across large-scale environments with thousands of NVIDIA and AMD GPUs.

  • Demonstrated expertise in conducting STAC benchmarks, including STAC-M3, STAC-A2, and STAC-AI, for both compute and storage performance optimization.

  • Extensive experience in GPU cluster architecture, performance tuning, and benchmarking in cloud environments.

Technical Skills:

  • Strong knowledge of GPU architectures (NVIDIA, AMD) and parallel computing.

  • Proficiency with Oracle Cloud Infrastructure (OCI) services and solutions architecture.

  • Expertise in container orchestration (e.g., Kubernetes, Docker), HPC frameworks, and distributed computing.

  • Strong programming skills in Python, C++, or CUDA, and experience with performance profiling tools.

Soft Skills:

  • Exceptional analytical and problem-solving abilities.

  • Strong communication and collaboration skills with a proven ability to work effectively across diverse teams.

  • High attention to detail, with a strong focus on quality and performance optimization.

Preferred Qualifications:

  • Experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and their deployment in large-scale cloud environments.

  • Familiarity with other cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures.

  • Active participation in MLCommons, STAC, or other industry consortiums or standards groups.

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: 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:

  1. Medical, dental, and vision insurance, including expert medical opinion

  2. Short term disability and long term disability

  3. Life insurance and AD&D

  4. Supplemental life insurance (Employee/Spouse/Child)

  5. Health care and dependent care Flexible Spending Accounts

  6. Pre-tax commuter and parking benefits

  7. 401(k) Savings and Investment Plan with company match

  8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

  9. 11 paid holidays

  10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

  11. Paid parental leave

  12. Adoption assistance

  13. Employee Stock Purchase Plan

  14. Financial planning and group legal

  15. Voluntary benefits including auto, homeowner and pet insurance

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

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

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.

* Which includes being a United States Affirmative Action Employer

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