채용
Benefits & Perks
•Flexible work arrangements
•Competitive salary and equity package
•Professional development budget
•Generous paid time off and holidays
•401(k) matching
•Comprehensive health, dental, and vision insurance
•Flexible Hours
•Equity
•Learning
•Healthcare
Required Skills
PostgreSQL
Python
Node.js
System Performance Engineer
- Apple Service Engineering
About the Role
Join the Apple Service Engineering (ASE) team and drive innovation that matters! The ASE team builds and provides systems and infrastructure that fuel Apple's services. As part of this team, you will be responsible for building and integrating technologies that enhance people's lives. We are also tasked with enabling Apple Intelligence and Private Cloud Compute in the cloud. We are seeking a System Performance Engineer with a proven track record of developing technology that has made a significant impact.
Description
Collaborate cross-functionally with architecture, platform design, SOC architects, and software teams to deliver exceptional end-to-end performance that delights our customers. In this role, you'll be responsible for the performance of one or more products. Specifically, you'll be tasked with ensuring the performance of Private Cloud Compute running Apple Intelligence in the cloud. This position demands technical expertise and depth to work on various elements of the stack, from SOC to the platform along with the software stack. You'll collaborate with architecture and software teams to define the product and set its power and performance targets and develop automation and infrastructure tools to evaluate the performance of our Apple Intelligence products. Strong problem-solving skills and effective communication are crucial for success in this role.
Minimum Qualifications
- 3+ years of experience as a Performance Engineer
- Strong experience in data and AI-related fields such as software architecture or AI engineering, software development, data science, data analysis, or data lead roles, with experience across both traditional ML systems and GenAI LLMs
- In-depth professional experience with cloud operations
- Strong understanding of hardware components and hardware/software interaction
- Proven understanding of network technologies, protocols and procedures for iOS and macOS
- Proven track record to own a complete functional area of an application or product
- Able to work independently and should be dedicated
- Excellent communication & interpersonal skills
- Comfortable with troubleshooting/debugging/reproducing issues
- Scripting and programming skills in C/C++, Python, Swift, SQL, Shell
- M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science
Preferred Qualifications
- Previous experience in Performance modeling and Debugging of Transformer models, LLM inference and training
- Ability to implement and coordinate telemetry using monitoring and observability tools such as Splunk, Grafana, and Prometheus
- Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake
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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