Research Scientist Intern, AI Signal and Power Integrity

This role is based in Sunnyvale, CA, with a focus on modeling and analysis of signal and power integrity using AI and machine learning techniques.

Compensation:

$7,313 to $12,134/month + 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.
• Design and implement experiments to validate AI-driven analysis techniques.
• Collaborate with hardware design teams to integrate AI-driven tools into the design flow.
• Publish research findings in top-tier conferences and journals.

Minimum Qualifications:

• Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Strong background in signal and power integrity analysis.
• Proficiency in programming languages such as Python, C++, or MATLAB.

Preferred Qualifications:

• Experience with AI frameworks like TensorFlow or PyTorch.
• Familiarity with high-speed digital design tools.