Apple · 23 hours ago
Wi-Fi AI/ML Software Engineer
Apple is at the forefront of wireless innovation, seeking an exceptional engineer to harness AI and machine learning to revolutionize connectivity. The role involves architecting advanced Wi-Fi solutions, collaborating with cross-functional teams, and pushing the boundaries of wireless technology.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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
Qualification
Required
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
Preferred
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
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase