Job Description
Physical implementation of next generation high performance AI accelerators in advanced technology nodes.Full ownership of all RTL2GDS flows including timing, power, formal and physical verification signoffs.Power oriented design including PI/SI flow development for full system models (Die / Package / PCB)Work closely with System, Design, DFT teamsLocation: Tel Aviv / Caesarea
Qualifications
At least 5 years of experience as Backend EngineerExperience in RTL2GDS flows and methodologies (synthesis/P&R/physical verification/timing signoff)Scripting skills - TCL / pythonFamiliarity with RHSC and performing EMIR/SIPI analysis including HFSS – Advantage
Inside this Business Group
The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Other Locations

IL, Haifa


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...