Power-Aware RTL Design Engineer (ML & Automation)

iFlow Inc.

Sunnyvale (CA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

iFlow Inc. is looking for a Power Engineer with expertise in RTL Design and Verification based in Sunnyvale, CA, or Austin, TX. The position requires strong skills in power analysis, automation through scripting, and collaboration with design teams to optimize hardware performance.

The ideal candidate will have 8-15 years of experience and is expected to work on power profiling and data processing. If you are motivated and skilled in machine learning applications for hardware optimization, we encourage you to apply.

Qualifications

  • Strong background in RTL design and verification principles.
  • Demonstrable experience with power profiling tools such as PPRTL or PTPX.
  • Proficiency in scripting languages like Python and/or TCL for automation and data manipulation.
  • Ability to process and analyze large datasets related to hardware design.

Responsibilities

  • Run power tests on RTL designs and verify that the test behavior matches the intent.
  • Utilize tools such as PPRTL or PTPX to perform comprehensive power profiling.
  • Develop and implement basic Python and/or TCL scripts for automation.
  • Analyze profiling data, generate reports, and present findings.
  • Work closely with architects and designers to understand power profiles.

Skills

RTL design and verification principles
Power profiling tools (PPRTL, PTPX)
Scripting languages (Python, TCL)
Data processing and analysis

Job description

iFlow Inc. is looking for a Power Engineer with expertise in RTL Design and Verification based in Sunnyvale, CA, or Austin, TX. The position requires strong skills in power analysis, automation through scripting, and collaboration with design teams to optimize hardware performance.

The ideal candidate will have 8-15 years of experience and is expected to work on power profiling and data processing. If you are motivated and skilled in machine learning applications for hardware optimization, we encourage you to apply.

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