AI-Driven RFIC Layout & PCell Optimization Engineer

Keysight Technologies SAles Spain SL.

Calabasas (CA)

On-site

USD 129,000 - 216,000

Full time

2 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k) Plan
Flexible PTO
Tuition Reimbursement

Job summary

Keysight Technologies Inc. seeks an experienced R&D Engineer to advance layout automation for RFIC, analog, and microwave design.

You will build PCells and Python-driven cells, integrate with circuits and EM tools, and apply machine learning to optimize design workflows. Ideal candidates hold an MS/ PhD in EE or related fields with strong RFIC and layout automation expertise, plus proficiency in Python/C++.

Qualifications

  • MS or PhD in Electrical Engineering, Computer Engineering or CS.
  • Strong hands-on RFIC, analog, microwave, or mixed-signal design experience.
  • Deep expertise in layout automation and PCell development.
  • Understanding of layout methodologies, design rules and EM-aware design.

Responsibilities

  • Develop advanced PCells, Python-based cells, and automated layout generation for RFIC, microwave, and analog components.
  • Design and implement layout automation including placement, routing, synthesis, and EM-aware design flows.
  • Integrate layout automation with circuit and EM simulation environments for automated optimization.
  • Develop AI-enabled optimization frameworks to accelerate design convergence and exploration.
  • Build scalable Python/C++ software to support AI-assisted semiconductor workflows.
  • Collaborate with RFIC designers and software engineers to deliver production-grade EDA capabilities.

Skills

RFIC design
Layout automation
Python
C++
Machine learning
Software architecture

Education

MS or PhD in Electrical Engineering

Tools

Python
C++
ADS
Cadence Virtuoso
EM simulation tools

Job description

Keysight Technologies Inc. seeks an experienced R&D Engineer to advance layout automation for RFIC, analog, and microwave design.

You will build PCells and Python-driven cells, integrate with circuits and EM tools, and apply machine learning to optimize design workflows. Ideal candidates hold an MS/ PhD in EE or related fields with strong RFIC and layout automation expertise, plus proficiency in Python/C++.

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