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Apple Wireless SW Engineer Germany, Bavaria, Munich 538312096
05.12.2024
Description
We are working on influencing the definition of next-generation wireless systems/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. Partnering with other engineers you will define problem statements, design AI/ML-based data-driven learning solutions, assess the system-level performance, and research innovative ideas & solutions. Most importantly, you will be part of building intellectual property and participating in industry/academic research projects as well as contributing to our simulator/emulator framework. Day to day, you will analyze system constraints and requirements based on both wireless connectivity standards and product requirements, to set system performance targets for wireless products. You will define innovations and technical contributions in different areas of the cellular system (L1/L2/L3) and network architecture. In addition, you will develop models of overall system and network performance and evaluate performance and critical metrics tradeoffs to optimize the overall architecture. This is an extraordinary opportunity to help Apple build innovative wireless devices and features for hundreds of millions of Apple users. If you are passionate about shaping the future of connectivity, we would love to hear from you!
Minimum Qualifications
- Proven understanding of wireless communication and Wireless Standards (5G NR, LTE), especially in RAN2 features and procedures
- Experience with programming in C++ and passion for building highly reusable software models, writing clear and readable code, performing code reviews, and supplying a CI/CD infrastructure
- Experience in system/network-level simulation and modeling work in organizations such as IEEE and/or 3GPP
- Masters in Computer Science or EE
Preferred Qualifications
- Good understanding of packet scheduling, networking protocols, queuing theory, Networks slicing, Application layer
- Proven work experience with MEC cloud edge computing, virtualization of network architecture, inter-technology interworking is desirable
- Experience in solving interdisciplinary problems via ML and experience in training AI/ML models/agents in simulations
- Highly motivated and proactive, a fast learner, and a good team player.
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