Wireless Analytics

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 \u0026 diagnostics frameworks to drive analytics for wireless products. Telemetry frameworks you build enable analytics, diagnostics, product experimentation, modem performance \u0026 usage characterization and anomaly identification / mitigation techniques to track, analyze and improve wireless experience of Apple products.

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.

Deploy and maintain Machine Learning models on-device using tools like Core AI needed for Wireless Connectivity and Voice Call features. \\nBuild scalable model evaluation pipelines for validating model performance. \\nDesign and develop Analytics module running on-device that aggregates and correlates information across the Wireless Technology software stack impacting WiFi, Bluetooth, Cellular etc. \\nDesign Wireless telemetry probes on device that will be used for performance \u0026 functionality monitoring, modem optimizations and identify various software / hardware anomalies. \\nBuild scalable solutions to unleash the potential of telemetry for data mining and anomaly \u0026 trend detection algorithms. \\nDevelop on device and crowd sourced learning frameworks to improve Wireless product experience. \\nUse product experimentation and A/B testing frameworks to validate machine learning model deployments. \\n

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

Strong object-oriented programming experience in C++, Objective C or Swift\\nStrong understanding of machine learning fundamentals\\nProficiency in GenerativeAI with experience building Agentic AI workflows for machine learning model training, deployment and evaluation\\nExperience with iOS ML frameworks such as Foundation Models, Core AI\\nUnderstanding of and passion for data analytics \u0026 product quality\\nAbility to thrive with a highly collaborative team that loves learning\\nExperience with scalable \u0026 cross layer analytics system design is a plus\\nExcellent communication skills