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Design Engineer III

Job in Austin, Travis County, Texas, 78716, USA
Listing for: American IT Systems
Full Time position
Listed on 2026-06-03
Job specializations:
  • Engineering
    Systems Engineer, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

Design Engineer III

ONSITE- US: TX
- Austin OR Sunnyvale office (2nd option)

Salary 140 to 145K

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.
Minimum Qualifications
  • 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.
Preferred Qualifications
  • 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.
Must Have
  • Power analysis and reduction (with industry tools)
  • RTL-to-GDSII flow and low-power implementation
  • Python scripting and ML/AI for automation and modeling
  • Education

    Must Have:
    Bachelor degree in Electrical/Computer Engineering or Computer Science Master''s Degree preferred but not required

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