PHY Systems Engineer - Mobility Control

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there is no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. Join us to help deliver the next groundbreaking Apple product.

Do you love working on challenges that no one has solved yet? Are you ready to join a team transforming hardware technology? We are searching for an experienced and talented engineer to join our exciting team of innovators. In this role, you will be a key member of the Systems Engineering team working on mobility control features for 5G and 6G wireless communication systems.Scope different mobility control procedures, identify the performance trade-offs and design innovative control procedures. Identify dependencies between physical layer and upper layers to optimize control concepts. Take part in cross feature impact analysis. Determine how a physical layer procedure impacts other procedures and strive for a jointly optimized algorithm. Consider end-user experience and scalability aspects as a part of algorithm design. Support hardware and software development teams from design through commercialization via defining test procedures and debug methodologies.Understanding of 5G-NR standard: RRC and PHY specifically. Knowledge of Wireless Communication Systems. Strong theoretical, analytical and problem-solving skills. Minimum requirement of a bachelors degree.Experience with Matlab, C/C++, Javascript and/or Python for system-level simulation, workflow automation, data analysis and visualization. Familiar with NR reference signal design, cell search/measurement and mobility behavior is a plus. Familiar with key RRC signaling flows between UE and network is a plus. Ability to make proper design tradeoff considering power, performance and complexity. Experience with genAI tools to improve work efficiency, and data analysis / machine learning skills.