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Cellular RF Receiver Systems Engineer - DSP (m/f/d)

Apple -
München

Jetzt bewerben

Details zur Stelle

vor 8 Tagen

Leistungen

Aufstiegsmöglichkeiten

Qualifikationen

MATLAB
Doktorat
Informatik
Signalverarbeitung
Datenanalyse
Master
C++
Scripting
Elektrotechnik
Python
4G/LTE

Vollständige Stellenbeschreibung

Apple’s RF System Engineering team is seeking a motivated and talented expert to define the next generation of Cellular RF Receiver architectures. In this role, you will architect and deliver groundbreaking wireless solutions for future Apple products, working on today's 5G New Radio and pioneering the path to 6G. You will have a unique opportunity to develop the core technologies that enable an outstanding wireless experience for millions of customers worldwide.

Description
As part of a best-in-class System Engineering team, you will drive innovation in Cellular Receiver architectures. You will work at the boundary of the analog/RF domain and digital baseband, collaborating closely with chip architects, digital/analog design teams, and firmware engineers.","responsibilities":"Define and specify DSP block requirements for the Cellular Receiver, translating system-level performance goals into concrete design targets.
Develop and maintain bit-accurate floating-point and fixed-point models of the receiver chain using Matlab, C++, and SystemC to guide design decisions and verify performance.
Design, simulate, and validate novel DSP Algorithms, including advanced multi rate digital Filter structures, for optimal Receiver performance, power, and area.
Collaborate with RF/analog design teams to understand and mitigate analog impairments, and work with digital design (RTL) and firmware teams to ensure flawless implementation of your algorithm designs.
Contribute to the entire product lifecycle, from initial architectural concept and algorithm definition until through to silicon validation and mass production.

Preferred Qualifications
Experience applying Artificial Intelligence (AI) or Machine Learning (ML) to enhance traditional DSP algorithms for tasks like adaptive filtering, channel estimation, or interference cancellation, with a focus on improving performance and efficiency.
Expertise in designing DSP algorithms to compensate for RF and analog impairments (e.g., IQ imbalance, DC offset, phase noise).
Strong understanding of cellular physical layer principles for LTE and 5G New Radio.
Familiarity with hardware modeling languages like SystemC.
Knowledge of parallel processing architectures for high-throughput, low-power DSP.
Proficiency in Python for scripting, automation, and data analysis.
Experience with the conceptualization and design of high-speed digital or mixed-signal circuits.
Master's degree in Electrical Engineering, Computer Science, or a related field with meaningful experience or Ph.D. in Engineering, Computer Science, or a related field.
Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Minimum Qualifications
System Engineering experience with a deep background in Digital Signal Processing (DSP) for wireless communication systems.
Proven track record in designing and implementing DSP Algorithms, with specific expertise in multi rate digital filter design (e.g. interpolators, decimators, polyphase filters).
Expert-level proficiency in Matlab for algorithm development and system modeling, paired with extensive hands-on programming experience in C++.
Experience in creating bit-accurate, fixed-point models and collaborating with hardware teams on implementation trade-offs.
Strong analytical and problem-solving skills, with the ability to communicate sophisticated technical concepts effectively to diverse, multi-functional global teams.

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