CAD Simulation Automation Engineer

vor 2 Wochen

Munich, Bayern, Deutschland Apple Vollzeit 80.000 € - 120.000 € pro Jahr
At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion for problem-solving and dedication to your job, and there's no telling what you could accomplish. People who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices — strengthening our dedication to leave the world better than we found it. Are you ready to join our team and help us deliver the next groundbreaking Apple products?

As a senior member of our CAD team, you will architect, develop, maintain and enhance simulation methodologies and solutions for our Analog, RF and mixed-signal designs, and beyond. Your work will include architecting new solutions, supporting and expanding existing in-house or EDA vendor products.

Description
As a CAD engineering expert you will be supporting our hardware development team. You will be closely collaborating with Analog/RF circuit designers, analysing and understanding use scenarios, and developing or enhancing automation frameworks. You will closely work with EDA vendors by sharing feedback on observed issues, defining specs for new solutions and tracking progress. Further you will collaborate with in-house CAD disciplines within custom design environment and beyond.

Minimum Qualifications
Proven experience in analog-mixed signal circuit simulations with Analog/RFIC design background and/or related CAD/automation support areas involving various technology nodes and tape out.
Proficiency on industry mixed-signal simulation tools, in particular Cadence ADE/Assembler simulation environment.
Overall proficiency in virtuoso ecosystem and experience with setup and investigating issues.
MS/PhD in Electrical Engineering or industrial experience equivalent.

Preferred Qualifications
Solid fundamentals and experience in programming languages like Python, Perl, SKILL.
Fundamentals and experience in AI/LLM algorithms and architectures.
Experience in Unix IT infrastructure, debugging (strace, bash scripting).
Strong problem-solving and communication skills (English).

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