Applied Sensing & Health Software Engineer, Sensing & Connectivity

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$272,100 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $227k
$132k most similar roles pay here $287k

This role pays more than 81% of similar roles. Most pay $161,575–$222,000 — the shaded band above. At the midpoint, this role pays about $227k versus about $192k 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 · Applied Sensing & Health Software Engineer, Sensing & Connectivity

Join the Applied Sensing & Health team as a senior software engineer, where you will design and implement cutting-edge algorithms for Apple's fitness and health products, including the Apple Watch and iPhones. You will optimize code for power efficiency and performance while collaborating closely with scientists, engineers, QA teams, and project managers to deliver secure and scalable systems that impact millions of users daily. The ideal candidate has a strong background in C/C++, ObjC or Swift, experience with signal processing and machine learning on resource-constrained devices, and proficiency in higher-level languages like Python and POSIX utilities. Preferred skills include developing composable software components, working with distributed computing platforms such as Spark, and deploying performance-optimized ML models on portable devices.

What you'll do

  • Design and implement software algorithms for health, fitness, and safety features.
  • Optimize software implementations to balance power, memory, and performance constraints.
  • Collaborate with scientists and engineers to develop secure and scalable systems.
  • Implement signal processing and machine learning algorithms on resource-constrained devices.
  • Use higher-level languages and POSIX utilities to enhance development efficiency.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, EECS, or equivalent experience.
  • Developed C/C++, ObjC, or Swift for a shipping product in a peer-reviewed environment.
  • Experience with cross-thread, process, and machine boundary software designs.
  • Implemented signals processing, statistical modeling, or machine learning on constrained platforms.
  • Used higher-level languages (e.g., Python, MATLAB) and POSIX utilities for computing tasks.

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