CAD Engineer - Custom EMIR Methodology
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Apr 21, 2026. Apple scores A on the Alion truth index.
Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products very quickly. Do you want to bring passion and dedication to your job? There's no telling what you could accomplish at Apple.
The people who work here have reinvented entire industries with Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices - we continue to strengthen our commitment to leave the world better than we found it.
As a key member of our best-in-class CAD Group, you will be part of building state of the art designs. We will utilize your hands-on experience in power/signal EM analysis and/or IR analysis to define, develop and refine the methodologies and flows.
Description
In this highly visible role, your primary responsibilities will include
- Supporting transistor level power/signal EM and/or IR solutions that scale with accuracy and capacity challenges
- Supporting and enhancing the custom transistor level EM/IR methodology
- Collaborating with various design groups (Physical-design and integration, Circuit-design / Power / Technology) to address their circuit verification requirements across different processes
- Partnering with design, CAD and EDA teams to identify flow deficiencies and deliver state of art solutions
Minimum Qualifications
Minimum requirement of BS + 10 years of relevant industry experience
Preferred Qualifications
Experience with custom design environment and transistor level EM/IR analysis
Proficiency in at least one of programing languages: Python, Perl, C/C++
Hands on experience developing transistor level EM/IR analysis and automations for improved accuracy and higher performance
Knowledge in EM/IR analysis tools, including their working principles and methods.
Familiar with custom design environment and flows, including schematic/layout design, simulation, extraction, and physical verification.
Strong analytical skills with demonstrated ability to root-cause technical challenges and communicate solutions for methodology advancement
Ability to coordinate and drive initiatives with minimum supervision