Silicon Power Engineer III, Texas

Description

Job Responsibilities:

Perform comprehensive power analysis at various design stages, spanning from RTL to GDSII.
Contribute to the development, improvement, and automation of various power analysis flows. This includes gathering and analyzing large datasets for power modeling via automated processes.
Investigate and address power inefficiencies, providing actionable feedback to the RTL design team.

Skills:

Demonstrated experience with RTL-to-GDSII design flow usage and development in advanced technology nodes (7nm and below).
Expertise in low-power implementation and signoff, including power gating, multiple voltage rails, and Unified Power Format (UPF) usage.
Proven experience in power analysis and reduction utilizing industry-standard tools such as PrimeTime PX/PrimePower.
Proficiency in scripting languages, with a strong emphasis on Python and ML/AI frameworks.
Working knowledge of RTL design principles.
Experience in RTL power optimization using specialized tools like Power-Artist.
Ability to learn quickly, explore new ideas, and iterate rapidly to achieve optimal results. Must-Have Hard Skills:
Power analysis and reduction (with industry tools)
RTL-to-GDSII flow and low-power implementation
Python scripting and ML/AI for automation and modeling
Nice-to-Have Skills:
Experience with synthesis and Place and Route (PnR) flows.
Experience analyzing Intellectual Property (IP) design for power characteristics and building run-time estimation models for use by software/firmware teams.
Skills in data analysis and data modeling, including the application of machine learning approaches.

Education/Experience:

Must Have: Bachelor degree in Electrical/Computer Engineering or Computer Science
Master's Degree preferred but not required
Experience with synthesis and Place and Route (PnR) flows.
Experience analyzing Intellectual Property (IP) design for power characteristics and building run-time estimation models for use by software/firmware teams.
Skills in data analysis and data modeling, including the application of machine learning approaches.

Highlights

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