Cellular RF Receiver Algorithms Systems Engineer

In this role, you will drive the control architecture and algorithms for the RF receiver, collaborating across systems engineering, RF circuit design, digital implementation, platform architecture, software engineering, and production teams to define and deliver solutions that push the boundaries of performance, quality, and implementation efficiency. Translate 3GPP, system-level and performance requirements into concepts and specifications for the RX line-up and RX features. Contribute to the entire product lifecycle, from initial architectural concept and algorithm definition until silicon validation and mass production. Collaborate with RF circuit design teams to understand RF impairments, configuration and dynamic requirements. Develop innovative concepts and algorithms to effectively control receiver components, calibrate, and compensate for RF impairments to ensure optimal system performance. Run simulations (e.g., MATLAB, Python, C++) for performance analysis. Lead the hardware and software partitioning within the transceiver/modem topology, optimizing the architecture for efficiency. Author detailed specifications and build reference models for hardware and software implementation teams. Conduct conceptual work on novel digital signal processing (DSP) algorithms, including advanced multi-rate digital filter structures, to achieve efficient signal line-up at optimized power consumption and minimal area. Collaborate with baseband system engineering teams on system requirements, optimal system partitioning and complex modem use cases. BSEE required. Understanding of Cellular Radio/3GPP Standards (UMTS, LTE, 5G NR FR1/2) and familiarity with emerging 6G research directions. Knowledge of RF receiver architectures from antenna to analog/digital base band processing including a comprehensive understanding of RF circuit impairments and their impact on system performance. Good overview of cellular system use cases and RF/baseband interactions and procedures. Proficiency in hardware/software co-design and a comprehensive grasp of the trade-offs inherent in digital hardware and software/firmware implementations. Expert-level proficiency in Python or C++ is required. Experience applying Artificial Intelligence (AI) or Machine Learning (ML) to improve multi-objective optimizations and accelerate engineering workflows. Excellent analytical and problem-solving skills, with the ability to collaborate effectively in a global, multi-disciplinary team. Expertise in microcontroller architectures used for real time operation and how to program them. Proficiency in AI/ML native applications, with experience utilizing tools such as TensorFlow or PyTorch. Knowledge of cellular modem architectures including their associated concepts and algorithms. PhD degree with education focus in RF, especially on cellular receiver architectures. System Engineering experience with a deep background in DSP for wireless communication systems. Experience in refining from abstract definition towards bit true reference models. Proficiency in mathematical modeling and analysis, with the ability to build abstract system models leveraging control theory for understanding and designing control and closed-loop feedback systems, optimization theory for multi-objective trade-space analysis and statistical methods for performance modeling under uncertainty.

For more details click Job Post.