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Job CodeJR0206287
Join Intel and build a better tomorrow. At Intel you can help build computing technology to connect and enrich the lives of every person on Earth.
As part of Advanced Design (AD)
within Design Enablement (DE) organization, this team works on
Design and Technology Co-Optimization (DTCO) in close collaboration
with various partners from technology development to design teams
spanning Client, Graphics, Networking, Servers, and FPGA. The
primary focus of the team is to accurately predict power,
performance, and area (PPA) impact from various process
technologies to facilitate quick data-driven decision making for
partners and customers.
You will
enjoy:
- Solving unique problems and challenges
- Being self-driven and resourceful in a fast-paced team environment
- Exploring new techniques for design optimization (including but not limited to AI/ML)
- Learning about new process technologies
About
the role:
You will work as part of a team
supporting RTL synthesis, place and route (PnR), timing and power
analyzes using internal and external EDA tools to optimize PPA for
products on Intel Architecture (IA/X86) and external IP's using
various advanced process technologies. You are expected to optimize
floorplan and PnR for low-power, routing congestion, and timing
closure as partition owner. Understand PPA trade-off to predict
technology scaling on power and performance for future technology
nodes. Drive to improve cell utilization and transistor density by
leveraging leading edge tools and methodologies in close
collaboration with EDA
vendors.
This is an entry level position and compensation will be given accordingly.
Qualifications
You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.
Minimum Qualifications:
Master's degree in Electrical or Computer Engineering
+ 6+ months experience in the following
areas:
- ASIC design flow including: floor planning, clock methodologies, EM/IR and SI mitigation strategies, power and timing sign-offs
- At least one of the following scripting languages: Python, TCL, and Shell
Preferred
Qualifications:
- Industry experience of low-power and high-performance optimizations, and PPA tradeoffs
- Experience in graphic designs and architectures
- Knowledge in Artificial Intelligence and Machine Learning (AI/ML)
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moores Law to bring smart, connected devices to every person on Earth.
Intel
strongly encourages employees to be vaccinated against COVID-19.
Intel aligns to federal, state, and local laws and as a contractor
to the U.S. Government is subject to government mandates that may
be issued. Intel policies for COVID-19 including guidance about
testing and vaccination are subject to change over
time.
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.
Work Model for this Role
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.
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