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职位Apple

Wi-Fi AI/ML Software Engineer, Wireless Technologies & Ecosystems

Apple

Wi-Fi AI/ML Software Engineer, Wireless Technologies & Ecosystems

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1d ago

Imagine being at the forefront of wireless innovation, where cutting-edge AI meets seamless connectivity. We're looking for an exceptional engineer who can harness the power of AI and machine learning to revolutionize how millions of people connect to the world around them. Join us in creating the next generation of intelligent Wi-Fi software for Apple products!

Description

In this role, you will architect and develop advanced Wi-Fi solutions enhanced by artificial intelligence and machine learning capabilities. You'll work on challenging problems from shipping software features to internal tools.

Collaborating with world-class hardware and software teams, you'll have the opportunity to see your innovations ship in products used by millions globally. Your work will span the full stack, from low-level Wi-Fi protocols to high-level ML models, requiring both deep technical expertise and creative problem-solving as you push the boundaries of what's possible in wireless connectivity.","responsibilities":"Design and implement machine learning models that optimize Wi-Fi performance, predict network congestion, and enhance connection reliability

Apply AI and machine learning technologies to internal development tools and workflows, creating intelligent systems that improve software quality, accelerate debugging, and enhance engineering productivity

Collaborate with cross-functional teams to integrate AI-driven networking features into system architecture and hardware platforms

Analyze large-scale network telemetry data to identify patterns, anomalies, and opportunities for ML-based improvements

Optimize ML models for on-device inference, balancing accuracy with power consumption and computational constraints

Drive innovation by researching emerging wireless technologies and AI techniques, prototyping novel solutions to complex connectivity challenges

Partner with privacy and security teams to ensure all ML-enabled networking features meet the highest standards for user data protection

Preferred Qualifications

MS or PhD in Computer Science, Electrical Engineering, or related field with focus on networking or machine learning

You have experience with on-device ML optimization and deployment on resource-constrained systems

You have published research or patents in wireless networking or applied machine learning

You have a demonstrated familiarity with network simulation tools and large-scale data analysis

You have a strong track record of shipping production-quality networking or ML-enabled products

You're laser-focused on the smallest details that are meaningful to our customers

You're obsessively passionate and inquisitive, and seek to tackle everyday problems in innovative ways

Minimum Qualifications

BS degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent field

You have 4+ years of professional experience in Wi-Fi, wireless networking, or related networking technologies

You have strong programming skills in C/C++ or Python

You have demonstrated experience with machine learning frameworks and applying ML techniques to real-world problems

You have a deep understanding of networking protocols (TCP/IP, routing, etc.) and wireless standards (802.11a/b/g/n/ac/ax)

You have excellent communication and collaboration skills with proven ability to work effectively across teams and clearly articulate technical concepts to diverse audiences

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 $147,400 and $272,100, 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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关于Apple

Apple

Apple

Public

Apple 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+

员工数

Cupertino

总部位置

$3.5T

企业估值

评价

3.9

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.8

职业发展

3.5

管理层

3.2

72%

推荐给朋友

优点

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

缺点

Work-life balance challenges

High stress and pressure

Fast-paced environment

薪资范围

11,365个数据点

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0份报告

$121,979

年薪总额

基本工资

-

股票

-

奖金

-

$103,682

$140,276

面试经验

3次面试

难度

3.3

/ 5

时长

28-42周

录用率

33%

体验

正面 33%

中性 0%

负面 67%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience