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Circuits Implementation Engineer

Apple
Posted 8 days ago, valid for a month
Location

Santa Clara, CA 95052, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking an Implementation Engineer for their Digital Custom Group to design and manufacture high-performance, power-efficient processors and system-on-chips (SoCs).
  • Candidates should have a Master's degree in a relevant field and at least 2 years of industry experience, preferably in SoC design cycles and custom circuit development.
  • The role involves defining PPA targets, collaborating with cross-functional teams, and tracking the design development of SRAMs and custom designs throughout the design cycle.
  • Applicants with knowledge of cache design, memory hierarchy, and industry-standard design tools will be preferred, along with experience in Gen AI and Machine Learning algorithms.
  • This position offers the opportunity to influence CPU, GPU, SoC, and Neural Engine designs for Apple's leading products, contributing to the technology that millions of customers love.
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. Together, you and your team will enable our customers to do all the things they love with their devices. Do you have a passion for crafting entirely new solutions? Be a part of a world-class silicon design team which delivered an incredible high performance M chip for our Mac line of products and chips for our flagship products (iPhone, iPad, Mac, Airpods, HomePod and Watch). As part of our Digital Custom Group (DCG), you and your team will apply engineering/process/technology fundamentals to define the PPA targets for next set of SOCs/products. In the implementation engineer role you will also track the PPA targets & development of all the custom/SRAM designs throughout the design cycle from feasibility to GDS. Join us to strongly influence CPU / GPU / SoC / Neural Engine / Camera designs in Apple's Custom Silicon group!

Description


Imagine yourself at the center of our hardware development effort. Where you will collaborate with all fields, playing a strategic role of getting functional products to millions of customers quickly. You will have the opportunity to integrate and come up with new insights, work with a team of hardworking engineers, and implement groundbreaking techniques of circuit design in Apple’s marquee products like M2 and A16 Bionic. As an Implementation Engineer for the Digital Custom Group, you will perform the following: - Design analysis to define PPA targets for current and future tech nodes - Work with an extraordinary SRAM and custom circuit team to formulate design specifications - Layout/Simulations to establish PPA trends - Finalize the list of SRAMs and custom designs to be built for next SOCs/products - Work with cross functional design teams to define specifications, track dependencies and provide technical solutions - Track design development of SRAMs & other custom designs for schedule, spec closure, PPA & quality

Minimum Qualifications


MS in a relevant field and a minimum of 2 years of relevant industry experience

Preferred Qualifications


We are looking for applicants with work experience within a SoC design cycle, developing custom circuits and SRAM/Register File for low power, low voltage and high performance Custom Circuit design methodology Leading/managing projects Knowledge of Cache design/architecture and memory hierarchy Solid understanding of industry-standard design tools Deep understanding of nanometer device physics, leakage mechanisms, technology interactions with device behavior Gen AI, Machine Learning algorithms (ML), and scripting is a plus



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