Senior OS Software Engineer, Field Engagement & Analytics

Cupertino, CA, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Embedded Systems
  • Software Engineering
  • Data Analysis
  • Hardware Development
  • Extract
  • Transform
  • Load
  • OS X
  • IOS Development
  • Computer Science
  • Software Development
  • Operating Systems
  • Process Management
  • Concurrent Programming
  • Privacy
  • Data Collection
  • C++
  • Objective-C
  • Swift
  • Communication
  • Collaboration
  • Conflict Resolution
  • Problem Solving
  • Critical Thinking
  • Generative Artificial Intelligence (AI)
  • Debugging
  • Analytics
  • Performance Tuning
  • CPU
  • Network
  • Management
  • Onboarding
  • Object-Oriented Programming
  • Software Design
  • Mentorship
  • IT Management

Summary

How are Apple devices used and how can they be improved? What kinds of problems do our

users experience? These are the kinds of questions the SWE Data Analytics org is built to

answer. We are looking for a Senior Software Engineer to join us in developing our OS data

collection services. The ideal candidate will be someone experienced in developing embedded

systems software with an interest in data collection techniques.

SWE Data Analytics collects, stores, and analyzes diagnostics and usage data from Apple

devices across the world, with user privacy at the core of everything we do. Our data generates

insights that inform product strategies across all of software and hardware development, and

directly impacts the quality and reliability of Apple products. The on-device software that

powers this data pipeline will ultimately live on millions of devices worldwide, playing a critical

role in helping Apple improve, create, and deliver the products that consistently delight our

users.

Description

As a Senior Software Engineer on the Device Diagnostics Data team, you will take ownership of

the tools, daemons, and frameworks that make up the foundation of our data pipeline. You will

develop and ship software for all Apple platforms (macOS, iOS, tvOS, watchOS, and visionOS)

and collaborate closely with teams across Apple to drive technical decisions that will shape our

data collection strategy.

Minimum Qualifications

B.S. in Computer Science or equivalent experience

5 years experience in software development

Understanding of operating systems fundamentals including process management, memory management, inter-process communication, concurrent programming, and synchronization primitives

Understanding of privacy-preserving data collection techniques and security best practices

Expert level experience with one of the following languages and related development tools: C++, Objective-C, Swift

Excellent communication skills and ability to collaborate effectively across multiple business and technical teams

Excellent problem solving, critical thinking, and interpersonal skills

Familiarity with Gen AI coding tools and a demonstrated ability to use them for design, code generation, and debugging

Preferred Qualifications

Experience in designing and building OS level software with its concomitant constraints and requirements

Experience with telemetry, analytics, or observability systems

Experience with performance optimization under constrained environments (memory, CPU, battery, network)

Highly professional, with the ability to deliver solid work on tight schedules

Proven ability to ramp up quickly in new environments, self-direct, and deliver meaningful contributions with minimal onboarding time

Strong object-oriented and systems software design skills

Demonstrated ability to mentor junior engineers and provide technical leadership
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: d1e2715887a729adc1613b003d7a9cf1
  • Posted 3 hours ago
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