Wi-Fi AI/ML Software Engineer
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 .
Want more jobs like this?
Get jobs in Cupertino, CA delivered to your inbox every week.

Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at Apple.