Product Engineer II: Power Integrity & AI PDN

Cadence Design Systems; Austin (TX); On-site; USD 102,000 - 189,000; Full time

Benefits offered by this job

Paid vacation

Paid holidays

401(k) with employer match

Employee stock purchase plan

Medical/dental/vision insurance

Job summary

Cadence Design Systems is seeking engineers to advance Power Noise Reliability analysis within the Digital Sign-off Group. You will build domain expertise in power integrity, 3DIC analysis and optimization, AI-driven IR mitigation and electrothermal optimization for digital designs.

The role collaborates with R&D to develop these methodologies and support strategic customers across Multiphysics domains, leveraging scripting skills in Python or TCL.

Qualifications

• 3+ years of related experience or a Master’s with relevant coursework.
• Strong understanding of digital logic, CMOS logic, and PDN analysis.
• Experience with physical design flows and automatic placement and routing tools.
• Ability to debug IR drop and timing issues; knowledge of Python/TCL scripting.

Responsibilities

• Be part of the product engineering team working on Power Noise Reliability analysis platform within Digital Sign-off Group at Cadence.
• Develop expertise in power integrity, 3DIC analysis & optimization, AI-driven IR mitigation & fixing methodologies, and electrothermal optimization for digital designs.
• Work closely with R&D to facilitate development of these methodologies and flows.
• Support strategic customers and cross-functional product engineering driving solutions in Multiphysics.

Skills

Power integrity analysis

Digital logic design

VLSI design

IR drop analysis

Python scripting

TCL scripting

Education

Bachelor’s Degree in Electrical / VLSI Engineering

Master's degree in Digital Systems in Electrical Engineering

Job description

Cadence Design Systems is seeking engineers to advance Power Noise Reliability analysis within the Digital Sign-off Group. You will build domain expertise in power integrity, 3DIC analysis and optimization, AI-driven IR mitigation and electrothermal optimization for digital designs.

The role collaborates with R&D to develop these methodologies and support strategic customers across Multiphysics domains, leveraging scripting skills in Python or TCL.