Job Details

Simulation & Modeling Algorithm Engineer (iPhone)

Cupertino, California, United States

Hardware

Summary

Posted: Jun 11, 2025

Role Number: 200608647

The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Are you up for the challenge?

Apple's iPhone Hardware Engineering team is seeking a passionate and collaborative Data Analysis Engineer to drive breakthroughs in battery life optimization, enhance user experience, and improve power management.

As a key member of our team, you will demonstrate your analytical expertise to find opportunities for innovation, develop actionable insights, and shape the future of iPhone power performance. You will need a strong foundation in data analysis, machine learning, and control systems, combined with excellent communication and collaboration skills.

Come join us!

Description

Key responsibilities at this role would include

Drive Power Data Insights: Perform in-depth data analytics and analysis on vast datasets generated by multiple generations of iPhones to find opportunities for power optimization and user experience enhancements.

Leverage Machine Learning for Impact: Apply your expertise in machine learning techniques to analyze field data and provide actionable recommendations to multi-functional teams, guiding design decisions and improving power efficiency.

Own Data Infrastructure: Support and enhance our automated power data collection infrastructure for the latest iPhones, ensuring the integrity and availability of critical data.

Develop Visual Insights: Create insightful visualization tools to empower multi-functional teams to effectively understand and interpret power performance data, enabling data-driven decisions.

Conduct Use Case Analysis: Lead detailed power analysis of key use cases, identifying areas for improvement and contributing to innovative power-saving strategies.

Drive Future Innovation: Research, develop, and champion innovative power-saving algorithms and techniques to shape the future of iPhone power management, pushing the boundaries of mobile technology.

Minimum Qualifications

• Bachelors in Electrical Engineering (EE) or a related field.

• 5+ years of industry experience

• Hands-on experience implementing modern machine learning techniques, including regression, classification, and clustering, to solve real-world problems.

• Proficiency in software tools essential for data analysis and modeling, including Matlab, C/C++, R, and Python.

Preferred Qualifications

• MS/PhD in Electrical Engineering (EE) or a related field is preferred

• Deep understanding of probability, statistics, algorithms, and mathematics, enabling you to develop and interpret sophisticated models.

• Proven ability to process, analyze, visualize, and data mine large volumes of data to extract actionable insights and drive data-driven decisions.

• Exceptional communication, persuasion, and negotiation skills, enabling you to effectively convey complex technical information to diverse audiences and drive consensus.

Pay & Benefits

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 $175,800 and $312,200, 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.