Location Estimation Engineer, Sensing & Connectivity

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $210k
$132k most similar roles pay here $287k

This role pays more than 66% of similar roles. Most pay $165,200–$235,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $200k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Location Estimation Engineer, Sensing & Connectivity

As a Location Estimation Engineer at Apple’s Sensing & Connectivity team, you will play a pivotal role in advancing multi-sensor navigation technology to enhance location-aware mobile experiences. Your daily tasks include researching, designing, and developing cutting-edge software for location estimation, utilizing Bayesian estimation concepts and Kalman filtering techniques. You will collaborate with both internal and external stakeholders to optimize the performance of your work across various hardware platforms, impacting hundreds of millions of users globally. Proficiency in C++ and a strong understanding of modern object-oriented programming are essential, along with experience in GPS/GNSS theory, inertial navigation systems, and machine learning. This role demands expertise in statistical data analysis and an eagerness to experiment with innovative positioning techniques to support Apple’s mission of connecting people and enhancing their daily lives through technology.

What you'll do

  • Develop and improve multi-sensor navigation technology for location estimation.
  • Design, debug, and support software that integrates digital and physical experiences.
  • Qualify performance of location estimation features for large user bases.
  • Collaborate with internal and external customers to optimize location technologies.
  • Implement complex mathematical algorithms related to Bayesian estimation and filtering.
  • Analyze statistical data to enhance the accuracy of location-based services.

What we're looking for

  • Graduate degree in Engineering, Computer Science, or related field.
  • Proficient in Bayesian estimation and Kalman filtering concepts.
  • Strong skills in statistics and statistical data analysis.
  • Expertise in C++ programming language.
  • Knowledge of modern object-oriented programming principles.
  • Experience with GPS/GNSS/radionavigation theory and technology.
  • Familiarity with inertial navigation systems and visual localization techniques.

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