Senior Wireless Systems SW Engineer,Wireless Technologies & Ecosystems

Are you an innovative thinker? Do you love the challenge of advancing a widely accepted technology? The Wireless Technologies and Ecosystems (WTE) team is seeking a hardworking individual with outstanding communication skills and an exceptional technical knowledge of cellular technologies. You will design, develop, and patent the next generation of our innovative connectivity technologies. You will be responsible for delivering architecture, design, and implementation of multi-layer, distributed, and real-time simulation components. You will collaborate across departments to help craft wireless solutions that elevate the customer experience with Apple products and iOS software features.\\n

We are working on influencing the definition of next-generation wireless systems and standards in terms of system concepts and network architecture. You will have the opportunity to work with different technical teams to define wireless and network features, and help drive external infrastructure vendors and carriers to full feature realization.\n

Proven understanding of wireless communication and standards (5G NR, LTE), with particular depth in RAN2 features and procedures.\nHands-on experience with Control Plane (RRC) protocols - including RRC state machines, connection management, mobility procedures, and signaling - and/or User Plane architecture covering data path design, bearer/flow management, and QoS enforcement.\nProven experience programming in modern C++, with hands-on experience in system/network-level simulation and modeling.\nFamiliarity with AI/ML libraries (e.g., PyTorch, TensorFlow)\n\n\n

Experience participating in RAN2 standardization, with strong awareness of the latest advancements and ongoing technical discussions in 5G and emerging 6G systems; experience contributing to intellectual property through patent filings is a plus.\nExperience in solving interdisciplinary problems via AI/ML and experience in training AI/ML models in cellular simulations.\nHands-on experience with GPU shading/compute APIs (Metal, Vulkan, DirectX, or WebGPU), hardware-accelerated ray tracing, and/or physically-based rendering (PBR).\nM.Sc or PhD in Computer Science or Electrical Engineering