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Meta · 1 day ago

Research Scientist Intern, AI Signal and Power Integrity

United States

Internship

Remote

Intern

$7,313/mo - $12,134/mo

Meta is a technology company focused on building immersive experiences through augmented and virtual reality. They are seeking a Research Scientist Intern to develop and implement AI-driven solutions for modeling, analyzing, and optimizing signal and power integrity in electronic systems.

Computer Software

Comp. & Benefits

Responsibilities

Develop and apply AI and ML models to simulate, analyze, and predict signal and power integrity issues in electronic systems

Enable AI driven electromagnetic analysis of packages and boards to automatically extract scattering parameters to develop models for system signal and power integrity analysis

Design and implement experiments to validate AI-driven signal and power integrity analysis and optimization techniques

Develop algorithms and models to optimize signal and power integrity in high-speed digital systems

Implement and apply AI model for signal and power integrity analysis

Work with hardware design teams to integrate AI-driven signal and power integrity analysis and optimization tools into the design flow

Collaborate with cross-functional teams to identify and prioritize research areas and develop solutions

Publish research findings in top-tier conferences and journals

Stay up-to-date with the latest developments in AI, ML, and signal and power integrity research

Qualification

AI techniquesML techniquesSignal integrity analysisProgramming in PythonSimulation toolsC++MATLABHigh-speed digital designCross-functional communication

Required

Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant technical field

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Strong background in signal and power integrity analysis and optimization

Proven experience with AI and ML techniques, such as deep learning, neural networks, and optimization algorithms

Proficiency in programming languages such as Python, C++, or MATLAB

Experience with simulation tools such as SPICE, Power SI, HFSS, or ADS

Intent to return to degree program after the completion of the internship/co-op