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Silicon Power Engineer III

Job in Clifton, Bosque County, Texas, 76634, USA
Listing for: SGS Consulting
Full Time position
Listed on 2026-10-18
Job specializations:
  • Engineering
    AI Engineer (Applied/Software), Electrical Engineering, Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Clifton

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 Prime Time PX/Prime Power.
  • 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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