SoC Power Flow Methodology Engineer

Austin, TX, US • Posted 8 hours ago • Updated 8 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • NAT
  • Integrated Circuit
  • Workflow
  • Emerging Technologies
  • RTL
  • Place And Route
  • Collaboration
  • VLSI
  • System On A Chip
  • Scripting
  • Artificial Intelligence
  • Machine Learning (ML)
  • Algorithms
  • Python
  • Perl
  • Tcl
  • Software Testing

Summary

Are you passionate about crafting solutions to intricate challenges? Join the Low Power group\\nat Silicon Technologies and contribute to the development of cutting-edge technology and\\ncapabilities for low-power chip design. Your work will fuel Apple's next-generation chips!\\nResponsible for developing and improving low-power flow algorithms using AI and machine\\nlearning, which significantly impacts the work of many designers involved in mobile system-on-\\nchips

In this role, you'll develop innovative automated tools and capabilities for the Silicon\nEngineering Power team. Your contributions will enable the creation of chips with\nunprecedented power e?ciency. You'll be involved in the architecture, implementation, and\nvalidation of advanced low-power design and verification workflows. Additionally, you'll shape\nlow-power strategies for emerging technologies.\nYour responsibilities will encompass the development of flows and tools for power analysis,\noptimization, and verification, seamlessly integrated into stages such as RTL development/\nverification, synthesis, or place-and-route (P&R). You'll actively leverage various AI tools to\ninnovate new solutions and enhance existing ones. Additionally, you'll collaborate with design\nteams to address queries, resolve issues, and ensure the smooth adoption of these\nmethodologies.

Minimum requirement of a Bachelors Degree in a relevant field

Solid grasp of VLSI designs and SOC design processes.\nEnthusiasm for scripting and leveraging low-power expertise to innovate software solutions.\nEnthusiasm for leveraging AI/ML to innovate low-power methodologies and flows.\nExperience in flow development and algorithm design using Python/Perl/TCL.\nDemonstrated proficiency in contemporary software testing and development methodologies.\nFamiliarity with low-power principles (e.g., low-power design techniques) is advantageous.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 2cc2bda72564b0911b32fff4327101c1
  • Posted 8 hours ago
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