OS Performance Engineer (Modeling) at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, Experimental Design, Quantitative Problem-Solving, Programming, Data Analysis, Modeling, Software Engineering, Performance Modeling, Capacity Planning, Computer Architecture, Performance Analysis Tools, Distributed Computing, Collaboration, Communication, Critical Thinking, Problem Solving

Industry

Computers and Electronics Manufacturing

Description

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

Responsibilities

In this role, you'll analyze high-dimensional data to build models, metrics, and simulations that inform collaborative decisions about software architecture and hardware specifications. You'll design experiments, build analytical performance models, and write code for simulations and analysis pipelines.