Screening & Integration Engineer, Watch Software

Socket.dev; Cupertino (CA); On-site; USD 137,500 - 250,700; Full time

Job summary

Apple is seeking a Screening & Integration Engineer on the Apple Watch Intelligent System Experience team. You will triage bugs, analyze logs, and prioritize issues for watchOS, leveraging AI tools to identify root causes and speed fixes.

You’ll maintain code repositories, build and test pipelines, and collaborate with engineers to scale triage with innovative AI approaches while delivering high-quality experiences for users and developers.

Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent professional experience.
• Familiarity with consumer-facing software development processes.
• Expertise with bug tracking systems.
• Experience with source control (Git preferred).
• Familiarity with Apple operating systems, especially watchOS and iOS.
• Experience with automated build, continuous integration, and test automation systems.
• Familiarity with large language models and adjacent generative AI tools, including skills, agents, and MCP.
• Command line tools, UNIX, Linux, or Terminal.
• Scripting languages such as Python, JavaScript, or shell scripting (zsh, bash).

Responsibilities

• Triage incoming bugs, and provide insights on trends and capacity in the incoming bug queue
• Maintain source code repositories, including branching for releases and tagging for submissions to the operating system build process
• Create continuous integration and automated test pipelines, assess their results, and elevate regressions
• Assist engineers with understanding the bug reporting system, the build system, and other development infrastructure
• Develop innovative new approaches to scaling the craft of triaging bugs using artificial intelligence tools and other emerging technologies

Skills

Objective-C

Swift

Bug debugging

Data analytics

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Xcode

Instruments

Git

UNIX/Linux

Python

JavaScript

Shell scripting (zsh/bash)

Model Context Protocol (MCP)

Job description

Do you want to help deliver the next amazing Apple product? As a Screening & Integration Engineer on the Apple Watch Intelligent System Experience team, you'll bring your keen observational and analytical skills, empathy for users, and passion for quality to an engineering team working to make the next version of watchOS amazingly great.

Description

As a Screening & Integration Engineer on the Apple Watch Intelligent System Experience team, you will triage incoming bugs, analyze logs, and prioritize issues for key components of watchOS. You will be expected to use large language models and other AI tools to quickly and efficiently identify the most important bug reports filed by Apple employees and external developers, and identify root causes and regression points to speed up the bug fix lifecycle. You will drive our day-to-day process around bug and source code management in service of creating high-quality intelligent experiences and improvements for our customers and developers. We are looking for an enthusiastic, curious, and technically savvy teammate who can juggle a variety of tasks efficiently.

Responsibilities

• Triage incoming bugs, and provide insights on trends and capacity in the incoming bug queue
• Maintain source code repositories, including branching for releases and tagging for submissions to the operating system build process
• Create continuous integration and automated test pipelines, assess their results, and elevate regressions
• Assist engineers with understanding the bug reporting system, the build system, and other development infrastructure
• Develop innovative new approaches to scaling the craft of triaging bugs using artificial intelligence tools and other emerging technologies

Preferred Qualifications

• Experience using Apple development tools (Xcode, Instruments)
• Knowledge of Objective-C and Swift, and frameworks including SwiftUI
• Experience debugging software issues
• Experience with data analytics and understanding large data sets
• Excellent verbal and written communication skills

Minimum Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent professional experience
• Familiarity with consumer-facing software development processes
• Expertise with bug tracking systems
• Experience with source control (git experience preferred)
• Familiarity with Apple operating systems, especially watchOS and iOS
• Experience with automated build, continuous integration, and test automation systems
• Familiarity with large language models and adjacent generative AI tools, including skills, agents, and Model Context Protocol (MCP)
• Practical experience with command line tools, UNIX, Linux, or Terminal
• Experience with scripting languages, like Python, JavaScript, or shell scripting (zsh, bash)

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 $137,500 and $250,700, 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

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.