채용
Benefits & Perks
•Competitive salary and equity package
•401(k) matching
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Equity
•Healthcare
Required Skills
Python
PostgreSQL
JavaScript
Wireless Verification Infrastructure Engineer
About the Role
Join Apple's Wireless Connectivity team developing state-of-the-art Wi Fi So Cs that power hundreds of millions of Apple products worldwide. You'll be part of our vertically integrated organization shaping next-gen wireless technology from concept through production. As a Wireless Verification Infrastructure Engineer, you'll ensure first-time-right silicon success through sophisticated testbenches, comprehensive scenarios, and cutting-edge verification methodologies—enabling multi-gigabit wireless technology connecting the world!
As a Wireless Verification Infrastructure Engineer, you'll build and maintain the critical infrastructure that powers our Wi Fi verification and design efforts. You'll develop regression management systems and automation frameworks that process hundreds of thousands of tests daily across distributed systems. Working closely with Apple / Vendors teams, you'll architect wireless flows, create powerful analytics, and solve high-impact infrastructure challenges—directly accelerating verification closure and enabling the team to deliver exceptional wireless silicon.
Responsibilities
- Build Python automation for intelligent regression frameworks (scheduling / distribution, triage, performance)
- Integrate and optimize EDA tools working closely with Apple / vendor teams
- Debug critical infrastructure issues spanning compute resources, tool interactions, and bottlenecks
- Develop analytic capabilities that multiply verification team productivity (metric analysis)
- Create innovative flows and tools leveraging latest technologies (AI/ML) enhance the project while establishing best practices
Minimum Qualifications
- BS and a minimum of 3 years of relevant industry experience
- Experience with object-oriented programming and software design principles within Python and C/C++
- Experience with distributed systems / compute infrastructure, Linux environments, and shell scripting
- Strong problem-solving abilities and debugging approaches
Preferred Qualifications
- Exposure to Hardware / Software Workflows, and/or EDA Tools / Linux environments
- Exposure to databases (e.g., SQL), web frameworks, or data analytic tools (Pandas, Jupyter)
- Exposure to AI coding assistants (Claude Code, Copilot, LLMs) or basic ML frameworks (Py Torch, Tensor Flow)
- Excellent communication and collaboration skills working with partner teams
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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