At Apple, we are committed to developing best-in-class mobile devices that deliver an uncompromised customer experience while meeting demanding performance and efficiency targets. Achieving this requires validation methodologies that match the sophistication of the technology itself, combining rigorous RF engineering with modern software development practices. RF validation has evolved into a software-intensive discipline where automation, data analysis, and machine learning are becoming essential to how we characterise and optimise complex cellular systems. We are seeking an RF System Validation Engineer to join a team developing cellular modems for Apple's mobile devices. You will be responsible for the validation and optimisation of the receiver embedded in the cellular RF sub-system across different state-of-the-art mobile products. Your responsibility will cover all cellular radio access technologies, including terrestrial and non-terrestrial communication. Your work will require intensive collaboration with various development and productisation teams across the world. We are looking for an experienced technical expert who combines strong RF fundamentals with software engineering capabilities. The ideal candidate is equally comfortable designing RF measurement strategies and developing scalable automation frameworks, and is motivated to apply data-driven methods—including machine learning—to solve complex validation challenges. In cellular modem development, the RF system is developed, characterised, and optimised before integration into different products. As an RF System Validation Engineer, you will have wide-ranging responsibilities throughout the complete development cycle. This begins with defining the test scope, planning and developing test cases, which are then used to characterise and optimise the RF system. You will own regression tests that monitor achieved performance during the entire development and productisation phase. Increasingly, this work requires strong software engineering skills—developing automation frameworks, building data analysis pipelines, and applying machine learning techniques to extract insights from large validation datasets. Your competence and dedication are required to solve complex functional and performance issues reported from product testing, all the way until product launch. Your collaboration skills will enable you to overcome technical challenges that require coordination with different teams located across the world.
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Job Type
Full-time
Career Level
Senior