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Deep Learning Hardware Design Engineer

Leixlip, Leinster, Ireland Job ID JR0269479 Job Category Platform Hardware and Systems Engineering Work Mode Hybrid Experience Level Entry Level Full/Part Time Full Time
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Job Description


Intel's Client Graphics and AI (CGAI) NPU IP team is looking for a Digital Design Hardware Engineer to develop leading edge logic design's for Intel's Neural Processing Unit (NPU) Artificial Intelligence (AI) accelerator products.

In this role you will join the NPUHardware team working closely with multiple internal SoC partners, Hardware Validation Engineers and AI architects to define and drive the development of key AI Hardware Intellectual Property.

Your responsibilities will include:

  • Responsible for the logic implementation of complex design block(s) using RTL coding techniques

  • Responsible for RTL quality signoff activities such as LINT and CDC checking

  • Working with pre-Silicon validation engineers to develop cluster level directed/random tests and environments

  • Working with the Physical Design (Layout) team on Synthesis, Formal Verification and Timing Convergence

  • Working with FPGA and Emulation teams on early design bring-up to enable SW development.


Qualifications


Educational Requirement:

Hons. Bachelors/Masters in Electronic Engineering /Computer Science or equivalent.

Minimum Qualifications:

  • A self-starter with the ability to manage your own time effectively

  • Ability to work well in a diverse team environment

  • Exposure to RTL level Digital Design.

Preferred Requirements:

  • 1 to 5 years of direct industry experience or internship experience is applicable

  • A background in RTL level Digital IC Design using System Verilog and/or Verilog ASIC and/or SoC design experience

  • Experience in unit level validation environment development, test plan generation and test case implementation for the verification of design block(s)

  • Experience with industry standard development tools and methodologies Experience with languages such as SystemC, C++, Perl, TCL, Shell scripting, Python, System-Verilog

  • Experience with SoC based CPUs, NoCs, AMBA Protocols, Memory controllers

  • Experience with online collaboration tools.

Leixlip is the primary location for this position.  In addition, we are happy to support flexible work/life balance arrangements.


Inside this Business Group


The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.


Posting Statement


All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits


We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.


Working Model


This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
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