Skip to main content

Circuit and Block-Level PPA RnD Engineer

Hsinchu, Taiwan; Taipei, Taiwan Job ID JR0226893 Job Category Engineering Work Mode Hybrid Experience Level Experienced
Job Description

The pathfinding team is looking for candidates to work on evaluating the most advanced foundry technologies using design-technology co-optimization (DTCO) and performance, power, area (PPA) analysis. In this role, you will have the opportunity to work on leading edge and define future technology nodes.

A typical project may combine more than one of the following (not limited to the ones listed below):


- Transistor-level SPICE simulations for small circuit / bit-cell and block level logic and memory
- Standard cell design and optimization for PPA
- Co-optimize advanced FEOL, MOL and BEOL architectures for optimal PPA
- Develop and quantify various PPA booster design arcs by working with technologists

A successful candidate will demonstrate:
- Deep knowledge of circuit topologies, standard cell architectures and PPA analysis
- Deep knowledge of one or more advanced memories at bit-cell, array, and macro-level
- Knowledge of parasitic RC extraction and circuit characterization using industry-standard EDA tools
- Experience in technology benchmarking using RO / delay-chain and other test circuits
- Proficient in programming and scripting languages like Python, Perl / TCL, or similar languages
- Good understanding of advanced semiconductor devices like FinFET, GAA etc
- Good problem solving and communication skills


Qualifications

Minimum Qualifications
- BS or MS or PhD in Electrical Engineering, Physics, or related fields


Preferred Qualifications
- Experience with technology and circuit pathfinding, and PPA analysis
- Good understanding of technology and design co-optimization (DTCO) tradeoffs
- Experience in transistor and block-level circuit design and simulation
- Experience with industry-standard EDA tools for layout, PEX, circuit simulation
- Design experience (logic and memory) in advanced CMOS process
- Experience in machine learning / reinforced learning / artificial intelligence
- Strong programming and scripting languages (Python, TCL, Perl)
- Good understanding of block-level PPA enhancement and the corresponding DTCO boosters is a plus
- Familiar with emerging technology trends and competitive landscape for both monolithic, advanced interconnect technologies, and 3D integration technologies


Inside this Business Group
Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.

Other Locations

TW,Taipei


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, and benefit programs. Find more information about our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

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. In certain circumstances the work model may change to accommodate business needs.
Maggie, Offensive Security Researcher

Maggie Offensive Security Researcher

“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”

  • Senior Assembly-Packaging Engineer Hsinchu, Taiwan Apply Now
  • Senior Cloud Thermal Engineer Taipei, Taiwan Apply Now
  • Senior Cloud Hardware Engineer Taipei, Taiwan Apply Now
View All Jobs

No jobs have been viewed recently.

View All Jobs

No jobs have been saved.

View All Jobs