招聘

Operations Automation Engineer, Watch Intelligent System Experience
Cupertino, CA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Development budget
•Stock options
•Health benefits
•Collaborative environment
•Equity
•Healthcare
Required Skills
SAP
Excel
Tableau
About the Role
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!
Do you want to help deliver the next amazing Apple product? As an Operations Automation Engineer on the Apple Watch Intelligent System Experience team, you'll bring your passion for automation and efficiency to an engineering team shaping the future of watchOS.
As an Operations Automation Engineer on the Apple Watch Intelligent System Experience team, you'll be responsible for accelerating software development workflows for bug triage, source code management, and continuous integration. You'll work with screening engineers to develop novel ways to analyze bug reports and customer feedback at scale for key watchOS experiences including the Smart Stack, clock faces, the home screen, notifications, and the frameworks that power them. You'll also work with integration engineers to design, implement, and maintain automated tests for features and fixes, and automate code submission processes for multiple software releases. We are looking for an enthusiastic, curious, and technically savvy teammate who can juggle a variety of tasks efficiently. Are you excited about being a member of the Apple Watch engineering team, working together to help watchOS delight our customers in new and intelligent ways? We want your energy and unique perspective on our team!
Minimum Qualifications
- Bachelor's degree in Computer Science or a related field, or 5+ years of software engineering work experience
- Excellent verbal and written communication skills
- Creative problem solver, undaunted by big problem spaces
- Able to effectively organize, categorize, and communicate about large sets of bug reports and feature enhancements
- Experience with automated build, continuous integration, and test automation systems
- Experience with source code management using git
- Experience designing and implementing software automation solutions with languages like Swift and Python
Preferred Qualifications
- Experience with large language models (like Apple Foundation Models, Claude, Gemini, or other LLMs)
- Experience adapting tools for use with generative AI using the Model Context Protocol (MCP)
- Familiarity with consumer-facing software development processes
- Familiarity with iOS development tools (Xcode, Instruments)
- Experience developing apps with Objective-C and Swift, and frameworks like SwiftUI
- Experience debugging software issues
- Expertise with bug tracking systems
- Previous work with analyzing large data sets of text and images, including sentiment analysis
Equal Opportunity
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$114,215
total / year
Base
$45,686
Stock
$57,108
Bonus
$11,422
$79,951
$148,480
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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