Job 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.

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