Apple Inc.
Cupertino, California, United States Software and Services
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 within CoreOS Performance serves as strategic advisors across Apple's software and hardware organizations, using performance analysis, data-driven insights, and predictive modeling to shape architecture decisions, hardware specifications, and product planning. The 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 model it, predict it, and use those insights to shape decisions. If this excites you, we should talk.
Description In this role, you'll serve as a performance advisor, working with everyone from feature teams architecting new capabilities to hardware teams planning next-generation devices. Blending statistical analysis with software engineering, you'll analyze high-dimensional data, design experiments, and build models, metrics, and simulations that translate complex performance questions into clear recommendations. You'll write code for analysis pipelines, simulation tools, and automation that enable teams to make informed decisions based on quantitative insights.
Responsibilities
Consult with feature teams on software architecture decisions from a performance perspective
Analyze telemetry data and design experiments to inform performance optimization and hardware lifecycle decisions
Build models and simulations to forecast performance requirements for future products
Develop metrics, tools, and analysis pipelines to extract insights from large-scale datasets
Collaborate across software, hardware, and silicon teams to translate performance analysis into strategic guidance
Write robust, maintainable code for models, simulations, and automation
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
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple accepts applications to this posting on an ongoing basis.
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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 within CoreOS Performance serves as strategic advisors across Apple's software and hardware organizations, using performance analysis, data-driven insights, and predictive modeling to shape architecture decisions, hardware specifications, and product planning. The 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 model it, predict it, and use those insights to shape decisions. If this excites you, we should talk.
Description In this role, you'll serve as a performance advisor, working with everyone from feature teams architecting new capabilities to hardware teams planning next-generation devices. Blending statistical analysis with software engineering, you'll analyze high-dimensional data, design experiments, and build models, metrics, and simulations that translate complex performance questions into clear recommendations. You'll write code for analysis pipelines, simulation tools, and automation that enable teams to make informed decisions based on quantitative insights.
Responsibilities
Consult with feature teams on software architecture decisions from a performance perspective
Analyze telemetry data and design experiments to inform performance optimization and hardware lifecycle decisions
Build models and simulations to forecast performance requirements for future products
Develop metrics, tools, and analysis pipelines to extract insights from large-scale datasets
Collaborate across software, hardware, and silicon teams to translate performance analysis into strategic guidance
Write robust, maintainable code for models, simulations, and automation
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
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple accepts applications to this posting on an ongoing basis.
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