Internship, Applied AI Engineer, AI Hardware (Summer 2026)

Role Summary

This internship position is expected to start May 2026 and will continue through the summer term, ending approximately August 2026 or later if available. It requires a minimum commitment of 12 weeks, full-time (40 hours/week) and on-site.

Experience Level

Current students pursuing a degree with an expected graduation date between December 2026 and August 2027.

Responsibilities

• Design and develop AI-powered applications ranging from static timing analysis to physical synthesis optimization.
• Oversee the setup, configuration, and performance tuning of EDA tools for digital, analog, and mixed-signal design.
• Create or customize automation solutions using languages such as Tcl, Perl, or Python.
• Assist in formal verification and timing analysis, ensuring designs meet fabrication standards.
• Collaborate cross-functionally with software and hardware teams to enhance hardware development lifecycle.
• Work to integrate AI-driven enhancements in EDA processes.

Requirements

• Currently pursuing a degree in Electrical Engineering, Computer Engineering, Applied Physics, or related fields.
• VLSI foundation in analog/digital circuit design, including transistor-level modeling.
• Expertise in Python and ML frameworks (PyTorch, TensorFlow, JAX).
• Hands-on experience with EDA tools like Cadence Virtuoso and Synopsys HSPICE.
• Knowledge of static timing analysis and design verification tools.
• Strong problem-solving skills and ability to thrive in fast-paced environments.

Education Requirements

Currently pursuing a degree in relevant engineering or physics fields with graduation dates between December 2026 and August 2027.