Wireless Analytics & Intelligence Software Engineer

Socket.dev; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Apple's Wireless Software team in the Wireless Technologies and Ecosystems (WTE) organization is seeking a software engineer to develop advanced telemetry and diagnostics frameworks aimed at analytics for wireless products.

You will work across L1/PHY layers with cross-functional hardware and software teams to deliver robust telemetry, performance analytics and anomaly mitigation, assisting in monitoring modem behavior and improving user experiences across Apple devices.

Qualifications

• B.S or M.S in Computer/Electrical Engineering, Computer Science or equivalent.
• Strong object-oriented programming experience in C++, Objective-C or Swift.
• Experience with ML fundamentals and Generative AI workflows for model training, deployment and evaluation.
• Familiarity with iOS ML frameworks such as Foundation Models, Core ML.

Responsibilities

• Develop telemetry and diagnostics frameworks to drive analytics for wireless products.
• Collaborate with cross-functional hardware and software teams across L1/PHY layers.
• Identify and develop core wireless technologies to improve user experiences across Apple devices.
• Support system validation and anomaly mitigation for wireless solutions.

Skills

C++

Objective-C

Swift

Machine learning fundamentals

Generative AI

Foundation Models

Core ML

Data analytics

Communication skills

Collaboration

Education

B.S. or M.S. in Computer/Electrical Engineering or Computer Science

Tools

Foundation Models

Core ML

Job description

Join our Wireless Technologies and Ecosystems (WTE) organization to be part of an outstanding team of engineers focused on driving innovation and enriching experiences for millions of customers worldwide. Wireless Software team is looking for an exceptional software engineer to develop advanced telemetry & diagnostics frameworks to drive analytics for wireless products. Telemetry frameworks you build enable analytics, diagnostics, product experimentation, modem performance & usage characterization and anomaly identification / mitigation techniques to track, analyze and improve wireless experience of Apple products.

Description

The position demands expertise in Wireless Systems with an emphasis on Cellular systems and requires close collaboration with cross functional hardware and software teams. Passionate, highly motivated and self-directed engineer to work across the L1/ PHY layer of groundbreaking wireless technologies. Such engineers with cellular systems and/or firmware development experience will be part of an innovative team that work on L1/PHY layer of 4G/5G modem that go into a range of Apple products. The position involves identifying and/or developing core wireless/cellular technologies that solve everyday problems for customers using Apple wireless product lines including wearables. This includes having an eye to identifying use-case based innovative solutions that enhance user experience. The ability to work with cross functional teams in the modem stack is a must-have skill and the desire to vertically integrate with new use cases and applications is expected as a second nature! Finally, working on perfectly delivering the implementation along with supporting the complete system validation of such solutions is a requirement.

Minimum Qualifications

B.S or M.S in Computer/Electrical Engineering, Computer Science or equivalent

Preferred Qualifications

Strong object-oriented programming experience in C++, Objective C or SwiftStrong understanding of machine learning fundamentalsProficiency in GenerativeAI with experience building Agentic AI workflows for machine learning model training, deployment and evaluationExperience with iOS ML frameworks such as Foundation Models, Core AIUnderstanding of and passion for data analytics & product qualityAbility to thrive with a highly collaborative team that loves learningExperience with scalable & cross layer analytics system design is a plusExcellent communication skills