RF Datapath Correction Algorithms
vor 1 Woche
Summary
At Apple, we work every single day to craft products that enrich people's lives. The people here at Apple don't just build products — they create the kind of wonder that revolutionizes entire industries. We invite you to join our dynamic group for the outstanding and exciting opportunity to contribute to upcoming products that will delight and inspire millions of Apple's customers every day.nAre you a student passionate about the intersection of digital signal processing, algorithms, artificial intelligence and wireless technology? Apple's RF Receiver Systems Engineering team in Munich is looking for an enthusiastic and curious student to explore technologies for digital correction of analog/RF impairments and for enhancement of signal quality as required for upcoming 6G standard. This is a unique opportunity to learn from world-class experts, apply your academic knowledge to cutting-edge, real-world challenges, and contribute to the core technology that powers Apple's wireless products.nJoin our team of leading experts and help us explore how AI can redefine the performance and efficiency of the RF systems that connect our customers to the world.
Description
In this role, you will be an integral part of our RF Receiver Systems team, focusing on the research and application of algorithms for signal impairment compensation nYour work will include the following tasks:nAnalyze state-of-art technology and propose new innovative solutions for RF signal path challenges such as IQ mismatch compensation, online calibration, digital post distortion and other correction techniques etc. nResearch, design, and prototype machine learning models—including neural networks and reinforcement learningnDevelop and maintain simulation environments in Python or MATLAB to model RF systems and test algorithmsnAnalyze simulation and measurement data to evaluate model performance, identify trade-offs, and propose improvements.nCollaborate with senior engineers to understand system requirements and translate them into model objectives and constraints.nDocument your findings, create presentations, and share your results and insights with the broader team.
Minimum Qualifications
Currently enrolled in a BS, MS, or PhD program in Electrical Engineering, Computer Science, or a related field.nFoundational coursework in RF/microwave engineering, wireless communications, and digital signal processing.nSolid theoretical understanding of machine learning, including neural networks and reinforcement learning concepts.nProficiency in Python and experience with common ML librariesnStrong analytical and problem-solving skills with an eagerness to learn and take on new challenges.nExcellent communication and collaboration skills.
Preferred Qualifications
Currently pursuing an MS or PhD with a focus on communications or RF systems.nDemonstrated experience through projects (academic or personal) applying ML to engineering problems, especially in the wireless or signal processing domain.nFamiliarity with cellular communication standards (e.g., 5G NR, LTE) and RF transmitter concepts (e.g., power amplifiers, linearity, digital pre-distortion).nA passion for building things and a desire to make a tangible impact on future Apple products.
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