CAD Engineer: SoC & Power-Efficient Design Innovator

Socket.dev

Austin (TX)

On-site

USD 150,000 - 210,000

Full time

4 days ago
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Job summary

Apple is seeking a Hardware CAD engineer to join the Silicon Technologies group in Austin, TX. You will help design and implement flows, tools, and methodologies for high-performance, power-efficient SoCs, collaborating with design teams to improve PPA and productivity.

You will work with EDA vendors, develop internal CAD solutions, and enable deployment of new tech nodes, stdcells, and ML-based optimization, contributing to world-class chips used in Apple devices.

Qualifications

  • Minimum BS in a technical field.
  • Experience with CAD flow or PD methodology is preferred.
  • Familiarity with PNR tools and ASIC physical design.

Responsibilities

  • Participating or leading cross functional teams to tackle key physical design challenges.
  • Developing innovative solutions in physical design and optimization space.
  • Developing and supporting implementation flows for multiple projects and design teams.
  • Developing and maintaining custom CAD tools for implementation and signoff.
  • Creating flows to enable deployment of new technology nodes.
  • Developing tools and methodologies for PPA and productivity including ML-based solutions.
  • Collaborating with other teams such as physical design verification, RC extraction, STA.
  • Working directly with EDA tool vendors to resolve tool issues and identify areas for tool improvements.

Skills

CAD flow
PD methodology

Education

Bachelor's degree in Electrical Engineering or related field

Tools

Tcl
Python
Perl
PNR tools

Job description

Apple is seeking a Hardware CAD engineer to join the Silicon Technologies group in Austin, TX. You will help design and implement flows, tools, and methodologies for high-performance, power-efficient SoCs, collaborating with design teams to improve PPA and productivity.

You will work with EDA vendors, develop internal CAD solutions, and enable deployment of new tech nodes, stdcells, and ML-based optimization, contributing to world-class chips used in Apple devices.

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