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Job Description:

The candidate will work on the System Level Simulation and Tx Full Chain Verification for RF Front-End Modules (FEM). This role focuses on the holistic performance of the entire Tx lineup, integrating Power Amplifiers (PA), Switches, Filters and PCB. You will build simulation methodologies to predict system performance and automate workflows.

Job Responsibilities:

• Perform Tx Full Chain Simulations integrating PA, Switches, and Filter blocks to predict system-level metrics (EVM, ACLR, Noise, Efficiency).
• Develop and verify behavioral models for RF FEM components (PA, Switch, Filters) for top-level system analysis.
• Analyze interaction between the Transceiver and FEM, including impedance mismatch and non-linearity effects.
• Develop Python scripts and automation tools for simulation control, large-scale data processing, and regression testing.
• Correlate system simulation data with lab measurements to improve model accuracy.

Job Requirements:

• MS degree or PhD with a strong focus on RF power amplifier or related RFIC circuit design.

• Solid understanding of Transceiver architectures and complete RF front-end chains (PA, LNA, Switch, Filters).

• Proficient in AI coding agents (e.g., Claude Code) to maximize development efficiency.

• Strong problem-solving skills to debug root causes of system issues and correlate simulation results with lab measurements.

• Expertise in simulation tools: ADS, Cadence Virtuoso, Dynamic Link, Golden Gate, and HFSS.

• Hands-on circuit design experience (PA, Switch, or Filter) is a plus.

Preferred Qualifications (Plus):

• Hands-on circuit design experience in RF Power Amplifiers is a strong plus.
• Experience with EM simulation tools (HFSS) and thermal analysis.
• Proficient with AI-driven development tools such as Claude Code and Cursor.

Broadcom is proud to be an equal opportunity employer.  We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law.  We will also consider qualified applicants with arrest and conviction records consistent with local law.

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