Develop and validate machine learning models for analog design automation, analyze design data, and collaborate with engineers to propose automation strategies
Job Summary
Develop and validate machine learning models for analog design automation, analyze design data, and collaborate with engineers to propose automation strategies.
Perform analog and mixed-signal circuit analysis, design, simulation, and verification in advanced CMOS nodes, optimizing physical design in collaboration with layout engineers.
Conduct lab evaluation and debug of pipeline ADCs, document research findings, and present progress to the team, with opportunities for full-time consideration.
Matching Summary
Develop and validate machine learning models for analog design automation, analyze design data, and collaborate with engineers to propose automation strategies.
Salary
$22 to $41
Skills & Requirements
Must-have
Analog IC Design coursework
Transistor-level design and simulation
Cadence and SPICE-type tools
IC physical design
Sub-micron process nodes
Lab equipment familiarity
Nice-to-have
Python and machine learning libraries
EDA tools such as Cadence Virtuoso
Design automation concepts
Analog layout-aware design
Data analysis tools
ADC architectures
High-speed analog design
Strong communication skills
Key Requirements
Currently enrolled in Undergraduate, Masters, or PhD program
Electrical Engineering, Computer Engineering, or related field