Simulation & Modeling Algorithm Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $218k
This role $214k
$135k most similar roles pay here $293k

This role pays more than 57% of similar roles. Most pay $194,100–$241,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $218k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Simulation & Modeling Algorithm Engineer

The Simulation & Modeling Algorithm Engineer - iPhone joins the Hardware Engineering team to drive breakthroughs in battery life optimization and power management for the iPhone. This role involves performing in-depth data analytics on vast datasets from multiple iPhone generations to identify opportunities for power efficiency and user experience enhancements. The engineer will apply machine learning techniques like regression, classification, and clustering to field data, develop visualization tools for multi-functional teams, and maintain automated power data collection infrastructure. Key responsibilities include conducting use case analysis and researching innovative power-saving algorithms. To succeed, the candidate must possess expertise in Matlab, C/C++, R, and Python, alongside a deep understanding of probability, statistics, and control systems. The role focuses on solving complex power performance challenges to improve mobile technology through data-driven insights and sophisticated modeling.

What you'll do

  • Perform in-depth data analytics on large datasets from multiple iPhone generations to identify power optimization opportunities.
  • Apply machine learning techniques to field data to provide actionable recommendations for design and power efficiency.
  • Support and enhance automated power data collection infrastructure to ensure data integrity and availability.
  • Create visualization tools to help multi-functional teams interpret complex power performance data.
  • Lead detailed power analysis of specific use cases to develop innovative power-saving strategies.
  • Research, develop, and champion new power-saving algorithms to improve iPhone power management.

What we're looking for

  • BS/MS/PhD in Electrical Engineering or a related field.
  • MS/PhD in Electrical Engineering or a related field (preferred).
  • 3+ years of industry experience.
  • Hands-on experience implementing machine learning techniques like regression, classification, and clustering to solve real-world problems.
  • Proficiency in Matlab, C/C++, R, and Python for data analysis and modeling.
  • Deep understanding of probability, statistics, algorithms, and mathematics (preferred).
  • Proven ability to process, analyze, visualize, and data mine large volumes of data (preferred).
  • Exceptional communication, persuasion, and negotiation skills (preferred).

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