OS Performance Engineer

Apple

Cupertino, California, United States

Cupertino, California, United States

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Über

Great performance is critical to Apple's product experience, but exceptional performance begins with the decisions we make today about the products of tomorrow. The Performance Modeling and Features team is seeking an engineer who can operate at a unique intersection: using performance expertise, data science, and strategic planning to not just measure and optimize performance, but predict it, model it, and use those insights to shape Apple's hardware and software. If you're passionate about using data-driven and predictive insights to influence product design and want to shape the future of performance at Apple, we should talk.
Description
In this role, you'll analyze high-dimensional data to build models, metrics, and simulations that inform collaborative decisions about software architecture, hardware specifications, and product lifecycles. This role blends statistical analysis with software engineering. You'll design experiments, build analytical performance models, and write code for simulations, analysis pipelines, and tools that translate complex data into actionable recommendations for teams across Apple.
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related quantitative field, or equivalent professional experience
Strong foundation in statistical analysis, experimental design, and quantitative problem-solving
Proficiency in programming languages for data analysis, modeling, and systems development (e.g., Python, R, SQL, C/C++, Objective-C, Swift)
Working knowledge of operating system fundamentals (e.g., memory management, scheduling, file systems, storage)
Demonstrated ability to transform raw data into actionable insights through analysis, modeling, and visualization
Excellent problem-solving and critical-thinking skills
Strong written and verbal communication skills, with ability to explain technical concepts to diverse audiences
Proven ability to collaborate effectively across teams and build relationships with diverse stakeholders
Preferred Qualifications
M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or related quantitative field
Experience with performance modeling, capacity planning, or computer architecture evaluation
Knowledge of modern CPU and memory architectures, and hardware/software interactions
Experience with performance analysis tools and methodologies (e.g., profiling, tracing, instrumentation)
Proficiency with distributed compute and storage technologies for large-scale data analysis (e.g., Spark, SQL-based analytics platforms)
Experience driving cross-functional projects and influencing decisions across diverse stakeholder groups
Track record of connecting quantitative insights to strategic product or business decisions
Prior experience in Unix, Linux, macOS, or iOS development or performance optimization

Cupertino, California, United States

Sprachkenntnisse

English

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