Mixed Signal Engineer Intern
Core
Develop and validate machine learning models for analog design automation, perform circuit analysis and simulation, and optimize physical design in advanced CMOS nodes.
Role type
Mixed Signal Engineer Intern
Builds
Analog and mixed-signal circuit designs, design automation tools, and pipeline ADCs
Domain
Semiconductor / Analog IC Design / Machine Learning
Deliverable
production ML models | product features
Required skills
Analog circuit design, Mixed-signal systems, Python, Machine learning libraries (scikit-learn, PyTorch), EDA tools (Cadence Virtuoso), Design automation concepts, Data analysis (MATLAB, pandas), ADC architectures, High-speed analog design, Clocking, Calibration techniques
Preferred skills
Transistor-level design and simulation, IC physical design, Sub-micron process nodes, Lab equipment operation (signal generators, spectrum analyzers)
Technologies
Python, scikit-learn, PyTorch, Cadence Virtuoso, MATLAB, pandas, SPICE
Responsibilities
Develop and validate machine learning models for analog design automation; Analyze design data, simulation results, and layout metrics; Collaborate with design engineers to identify challenges and propose automation strategies; Support tool development and scripting for design flow enhancements; Perform analog and mixed-signal circuit analysis, design, simulation, and verification; Optimize physical design in collaboration with layout engineers; Conduct lab evaluation and debug of pipeline ADCs; Document research findings and present progress to the team
Seniority
Intern