RF/Analog/ML Augmented IC Design Engineer

General Summary We are seeking a highly skilled RF/Analog IC Design Engineer with working knowledge of Machine Learning to join our team in Santa Clara. This role is ideal for candidates with strong hands‑on RFIC / analog circuit design expertise who also have practical experience applying ML techniques to engineering problems. The work involves designing and developing complex radio frequency integrated circuits in complex SoC’s and discrete RFIC’s. Perform radio signal path and circuit topology analysis and detailed transistor‑level design of highly integrated transceivers and associated blocks for wireless applications, 4G, 5G, WLAN, BT and GPS standards using advanced process technologies. Utilize complex analysis, simulation, engineering, science and mathematical principles to compose ML algorithm structures to solve problems. Debug and assess performance of algorithms in actual application hardware. Minimum Qualifications Bachelor's degree in Electrical Engineering with 3+ years of experience designing RF/Analog circuits for wireless products (e.g., LNA’s, PLL’s) and 2+ years of ASIC design, verification, or related work experience. OR Master’s degree in Electrical Engineering or related field with 2+ years of ASIC design, verification, or related work experience. OR PhD in Electrical Engineering or related field. 2+ years of academic or professional experience using two or more of the following software: CADENCE, Virtuoso, ADS. Principal Duties and Responsibilities RF / Analog IC Design (Primary Focus) Define, design, and develop complex RF and analog integrated circuits for highly integrated SoCs and discrete RFICs. Perform transistor‑level design, signal‑path analysis, and circuit topology development for wireless applications (4G, 5G, WLAN, BT, GPS). Independently derive circuit‑level specifications from system‑level requirements. Develop and analyze RF architecture and critical building blocks using advanced RFIC design methodologies. Run and analyze complex simulations across PVT, mismatch, and stress conditions. Collaborate closely with layout engineers on floor planning, layout review, and physical verification. Review test plans, analyze silicon/test results, and drive root‑cause analysis and fixes. Contribute to next‑generation RFIC architecture and technology direction discussions. Machine Learning (Required) Apply machine learning techniques to RF/analog design problems such as modeling, prediction, optimization, or design‑space exploration. Develop or use ML models (e.g., regression models, neural networks, decision trees, autoencoders, or related approaches) for circuit performance prediction or analysis. Collaborate with cross‑functional teams to integrate ML‑driven insights into RFIC design workflows. Analyze datasets generated from simulations, measurements, or silicon to improve design decisions. Document ML methodologies and clearly communicate results to RF and system design teams. Required for this Role Master’s or PhD in Electrical Engineering, Computer Engineering, or a closely related field. Strong, proven experience in RF/Analog IC circuit design. Working knowledge of machine learning, demonstrated through practical application to engineering problems. Proficiency with RFIC design tools and simulation environments. Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, or equivalent). Strong analytical, problem‑solving, and debugging skills. Ability to communicate complex technical concepts clearly in both written and verbal form. Preferred Qualifications Experience applying ML to circuit design, modeling, optimization, or EDA workflows. Exposure to hardware‑aware or resource‑constrained ML models. Experience working with real silicon data and closing the loop between ML predictions and measured results. Familiarity with industry trends in ML‑assisted circuit design or automation. EEO Statement Qualcomm is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Compensation and Benefits Pay range: $139,400.00 – $209,200.00. #J-18808-Ljbffr Qualcomm