Senior Principal Software Engineer - GPU Cluster Performance and Benchmark Engineering

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Job Overview

The Senior Principal Software Engineer - GPU Cluster Performance and Benchmark Engineering at Oracle will be responsible for leading efforts to optimize and enhance the performance of GPU clusters. The incumbent will oversee the development of benchmarking tools, establish performance metrics, and work collaboratively with various engineering teams to innovate and integrate GPU-related technologies. This role aims to push the boundaries of performance, ensuring that our solutions meet the highest standards of efficiency and effectiveness in high-performance computing environments.

Job Responsibilities

• Lead the design, development, and implementation of benchmarking solutions for GPU clusters.
• Analyze and improve workload performance across various hardware and software platforms.
• Collaborate with cross-functional teams to integrate new technologies and optimize existing systems.
• Develop performance analysis tools and methodologies to evaluate the efficacy of GPU configurations.
• Document performance best practices and deliver presentations to stakeholders.
• Conduct research on emerging trends in GPU technology and apply findings to improve Oracle's offerings.

Qualifications

• Master's or PhD degree in Computer Science, Computer Engineering, or a related field.
• 10+ years of experience in software engineering, with a focus on GPU computing and performance benchmarking.
• Proven expertise in performance tuning and optimization across distributed systems.
• Strong programming skills in C/C++, Python, and/or CUDA.
• Extensive knowledge of GPU architectures and parallel computing principles.
• Experience with machine learning workloads on GPU clusters is a plus.

Technologies & Tools

The Senior Principal Software Engineer will utilize a wide array of technologies, including advanced GPU architectures such as NVIDIA and AMD, performance benchmarking tools like SPEC and Gbench, and software development environments such as Visual Studio and Git. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes may also be instrumental to this role.

Ideal Candidates

The ideal candidate will exhibit a strong analytical mindset and problem-solving abilities, coupled with excellent communication and teamwork skills. They should possess a forward-thinking attitude, embracing innovation while maintaining a focus on results. Additionally, candidates must be adaptable to rapidly changing technologies and have a passion for continuous learning and improvement in the performance engineering domain.