SoC Integration and Synthesis Engineer

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. Join us to help deliver the next phenomenal Apple product. Do you enjoy working on challenges that no one has solved yet?

As a member of our dynamic group, you will be part of a group that defines flows and methodologies in all these fields that help Apple implement complex chips with the best QOR (quality of results) and PPA (power, performance, and area) using cutting-edge technologies. We are searching for a talented engineer to join our exciting team of problem solvers.

As an SOC/ASIC Integration u0026 Synthesis Engineer, you will have responsibilities spanning various aspects of SOC design:

* Drive all front-end integration activities like Integration, Synthesis, UPF, Logical Equivalence, ECO, etc.

* Work closely on methodology improvements for improving synthesis QOR.

* Work on Low power design, writing UPFs, close on power intent verification at the chip level.

* Work on RTL integration, timing constraints, and synthesis of designs.

* Knowledge of FE flows like Lint u0026 LEQ and scripting is a plus
Work closely with other engineers that are members of the SOC Design, SOC Design Verification, Emulation, STA, Power, and Physical Design teams.

Expertise in digital design integration, synthesis, UPF, timing analysis, and closure.
Worked closely on improving low-power synthesis methodologies.
Hands-on experience in all aspects of the chip development process with proficiency in front-end tools and methodologies

Experience with scripting languages like Perl or Tcl or Python
RTL logic design or implementation experience on multi-million gate ASICs will be a plus
Ability to communicate effectively across all internal groups
Attention to detail and desire to learn.
Familiarity with modern AI tools and platforms, with the ability to adapt and learn new AI technologies as they emerge

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