Storage Performance Engineer - Storage Analytics

at  Apple

SUMMARY

Posted: Jun 6, 2024
Weekly Hours: 40
Role Number:200554472
Become a key player on our Storage Analytics team, where your skills in operating systems and data-driven analysis will lead to significant advancements in our storage solutions. This role involves developing scalable infrastructure, solving complex performance issues, and collaborating with a passionate team to drive innovation. If you thrive in a dynamic environment and are eager to shape the future of storage technology, this position is perfect for you!

DESCRIPTION

In this role, you will join a high-energy, collaborative team focused on developing cutting-edge storage technologies for Apple’s diverse range of devices. You will leverage your knowledge of operating systems, block storage layers, and application I/O performance to improve storage subsystems and ensure seamless integration with our operating systems. Your responsibilities will include identifying and addressing storage inefficiencies, debugging issues across hardware and software, developing complex analysis tools, and enhancing data collection infrastructure. You will work closely with performance teams to track and resolve application I/O regressions, utilizing data visualization tools to present insights to leadership. Your contributions will help create the fastest and most efficient storage solutions, directly impacting the performance of iPhones, iPads, Apple Watches, and Macs, and ultimately enriching the user experience.

• Solid C and Python with deep knowledge of data structures and algorithms
• Knowledge of modern operating systems
• Bachelor’s degree in CS/CE/EE ( or equivalent, or related field ). MS Preferred.
• Excellent written, verbal, and data communication skills

PREFERRED QUALIFICATIONS

• Proficiency in any of the following programming languages is a bonus: Java, Scala, C++, Objective-C, or Swift
• Highly organized, creative, motivated, and passionate about achieving results
• Curious and have excellent analytical and problem solving skills
• Proficient in Operating Systems, kernel architecture and filesystems
• Familiar with storage and IO paradigms
• Familiar with operating system tracing mechanisms like dtrace
• Proficient in data analytics and creating impactful data visualizations for executive reporting

• Solid C and Python with deep knowledge of data structures and algorithms
• Knowledge of modern operating systems
• Bachelor’s degree in CS/CE/EE ( or equivalent, or related field ). MS Preferred.
• Excellent written, verbal, and data communication skill