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Do you want to make a positive impact on the direction of new, key technologies in consumer products while pioneering the future of intelligent quality assurance?
We're seeking a creative and motivated Software Engineer to join our Product Systems Quality team, working to ensure world-changing Mac and Home products are delivered at the highest quality to all our customers! To achieve this, it requires building large automated frameworks to gather thousands of hours of test data weekly, and we need people like you to help us build and maintain our tools for critical stability testing of Mac and Home products. You'll plan, design and write code for system stability automation with an emphasis on hardware-centric software risks simultaneously run on a large number of systems. You will be at the nexus of hardware and software where you work cross-functionally with several engineering and QA teams to identify risk areas and testing responses, and to support engineering investigations.
We expect artificial intelligence and machine learning to be at the core of the work, developing next-generation automation tools that predict, prevent, and optimize critical system failures before they impact customers.
Come join our team!
Description
As a Software Engineer you will be responsible for the development of key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs on thousands of units daily.
","responsibilities":"Design and implement on-the-fly automated stress and stability hardware-centric software tests for embedded systems
Design and implement ML-powered test automation frameworks and validation tools
Understand the context where an application will be deployed, providing insights to potential failures
Write and update problem reports enhanced with ML analysis that explains issues, predicts root causes, and provides data-driven recommendations for fixes
Analyze large volumes of validation/test data and build predictive models to detect issues early
Thrive in uncertain, rapid project schedules, being able to quickly shift priorities, maximize testing time, and deploy AI solutions that adapt to changing requirements
Ensure scalability, reliability, and maintainability of systems in production environments
Work with cross-functional teams to help collect and define requirements for AI-enhanced tools, automation, and intelligent reporting systems
Provide training on a regular basis and mentor others as needed
Preferred Qualifications
Strong verbal and written communication skills
Academic background in data science, machine learning, computer vision, and statistical data analysis
Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
Experience applying ML to anomaly detection, predictive maintenance, or test optimization
Minimum Qualifications
Bachelors degree in CS/CE/EE and a minimum of 5 years relevant industry experience
Solid understanding of machine learning algorithms and their practical application
Knowledge of hardware/software validation, hardware/software integration, or testing methodologies
Strong programming skills and hands-on experience with Python
Experience with CoreML, Swift, and iOS/macOS machine learning development
Experience with relevant ML frameworks (Py Torch, Tensor Flow, or JAX)
Experience building robust and scalable tools, frameworks and automation systems
Strong problem-solving skills and ability to work in a cross-disciplinary team environment
Excellent written and verbal communication skills
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 .
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 $181,100 and $318,400, 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.
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Appleについて

Apple
PublicApple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.
10,001+
従業員数
Cupertino
本社所在地
$3.5T
企業価値
レビュー
3.9
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.8
キャリア
3.5
経営陣
3.2
72%
友人に勧める
良い点
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
改善点
Work-life balance challenges
High stress and pressure
Fast-paced environment
給与レンジ
11,365件のデータ
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0件のレポート
$114,215
年収総額
基本給
$45,686
ストック
$57,108
ボーナス
$11,422
$79,951
$148,480
面接体験
3件の面接
難易度
3.3
/ 5
期間
28-42週間
内定率
33%
体験
ポジティブ 33%
普通 0%
ネガティブ 67%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
ニュース&話題
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