채용
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Parental leave
•Team events and activities
•Equity
•Healthcare
•Parental Leave
Required Skills
React
Python
Node.js
Senior Software Engineer
- Maps Search Platform
About the Role
Are you passionate about building software that will be used by hundreds of millions of people worldwide? Do you enjoy devising simple yet elegant solutions to complex global problems? Are you passionate about solving large-scale problems while delivering appealing, intuitive, and innovative experiences? If so, join our team!
The Maps Search Platform and Services team is seeking an outstanding Senior Software Engineer to build Search Platforms and fundamental services that power Maps Core Search, Autocomplete, and other services.
As a Senior Software Engineer in the Apple Maps team, you'll be instrumental in contributing to both the search platform and the product itself. You'll have the opportunity to innovate on the search platforms, crafting elegant solutions within distributed systems. Collaborating closely with development and product teams, you'll build seamless solutions that work across the entire Apple ecosystem. Additionally, you'll participate in design and code reviews, working alongside engineers and QA to deliver a high-quality search experience to our customers.
Responsibilities
- Hands-on technical leadership on multiple fronts such as architecture, development, code reviews, and operations
- Own and drive multiple critical work streams, which includes vision/direction setting, overseeing the overall planning and execution toward clear objectives with measurable key results
- Conduct deep-dives on product design and architecture, in collaboration with various engineering teams and having a direct impact on product development
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering or equivalent practical experience
- 7+ years of hands-on software engineering experience at Principal IC level
- Experience in building search related services
- Expertise in one or more modern programming languages, such as Java, C++, Python
- Experience on collecting high-level requirements and translating them into pragmatic solutions
- Demonstrated success in working with cross-functional teams including partners, product management, business teams
- Solid interpersonal and communications skills, with proven ability to translate complex technical concepts and roadmaps to diverse audiences
Preferred Qualifications
- Master's or Ph
D in Computer Science or related fields:
- Understanding of search indexing and ranking algorithms
- Experience in high throughput, low latency distributed systems
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
M3
M4
M5
M6
L2 · Industrial Designer L2
0 reports
$320,450
total / year
Base
$128,180
Stock
$160,225
Bonus
$32,045
$224,315
$416,585
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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