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Apple Systems Engineer PHY Layer Control Simulations m/f/d Germany, Bavaria, Munich 569475240
04.04.2024
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Key Qualifications
- Deep knowledge of communication system theory, PHY signal processing and Layer 1 Control procedures
- Validated track-record in SW and simulator design in C++, including experience with simulator frameworks and configuration management
- In-depth knowledge of wireless communication systems with hands-on experience in 4G/5G PHY and L1C design, pre-silicon verification and critical metric testing
- Experience with Matlab, C++ and/or Python programming including significant knowledge of algorithms and data structures, memory and runtime profiling as well as code optimization techniques
- Solid knowledge of current cellular communication standards: 5G (NR) and 4G (LTE)
- Knowledge in Machine Learning
- Experience in chip bring-up including the use of lab equipment is a plus
- Strong analytical and problem-solving skills.
Description
You will take part in the pioneering work of creating and developing simulation models for innovative PHY signal processing and Layer 1 control algorithms which enable cellular modem system design and verification for very high-data rate applications. Your responsibilities will include but are not limited to:- Design and implement 4G/5G PHY and Layer 1 control models for pre-silicon simulation and verification- Perform functional and performance verification of the models using internal and 3rd Party test tools- Contribute to link-level simulator modeling, meaningful metric testing and framework design- Define test cases for new features and drive bring-up and issue resolution.- Integrate PHY reference models in PHY only, reduced signaling and full stack pre-silicon simulation and verification environments in close cooperation with our HW and FW design teams- Actively contribute to software architecture and design for existing and future PHY and Layer 1 control projects- Integrate Machine Learning based modem algorithms in our link-level simulator and employ Machine Learning based approaches for test case generation, coverage improvements and automated issue triage- Collaborate across functional teams to define and document project requirements, concepts, model architecture, interfaces and APIs.
Education & Experience
MS in Computer Science or Electrical/Information Engineering with 8+ years of working experience or PhD in relevant field with 5+ years of working experience.
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