About the job
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. This position requires expertise in both RFIC design and ML to be considered. While RF/Analog IC design is the primary focus of this role, the ability to leverage ML for design optimization, modeling, analysis, and automation is essential.
Responsibilities
Working under some supervision and providing some guidance to others.
Taking responsibility for own work and making decisions with limited impact; impact of decisions is readily apparent; errors made typically only impact timeline (i.e., require additional time to correct).
Using verbal and written communication skills to convey basic, routine factual information about day-to-day activities to others who are fully knowledgeable in the subject area.
Working within prescribed budget and resources.
Having a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to provide input on key decisions).
Completing most tasks with multiple steps which can be performed in various orders; some planning and prioritization must occur to complete the tasks effectively;
Exercising creativity to draft original documents, imagery, or work products within established guidelines.
Using deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem; often information is missing or incomplete; intermediate data analysis/interpretation skills may be required.
May be solicited during strategic planning period.
Qualifications
Minimum
Bachelor's degree in Electrical Engineering with 3+ years of experience with 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 and 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.
Preferred
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.