Job DescriptionAbout the role:You will be part of Intel Advanced Design Organization (AD) within Design Enablement (DE) focused on pathfinding and development of advanced logic circuits to enable best-in-class Foundational IP collateral and product design across all generations of Intel process technology. You will help develop new capabilities for design automation and optimization using scalable software and AI/ML to improve overall design PPA (Power Performance and Area). This work requires exploration of latest AI/ML algorithms, with senior engineers, for solving challenges in design optimization space and build proof of concept (PoC) capabilities. You will be expected to research and develop advanced AI/ML strategies to build or extend state of the art in the field of digital design optimization.To excel in this role, you should be passionate about physical design, software development, solving challenging problems, and exploring cutting-edge technologies for design optimization using AI/ML techniques. You'll be part of Advanced Design (AD) within Design Enablement organization (DE). The team works in close collaboration with various partners in process technology and design teams spanning CPU, GPU and Server SoCs. The primary focus of the team is to quickly and accurately predict the impact of process changes on power, performance, and area (PPA) to facilitate data-based decisions for PPA commits for future Intel processes.This is a fulltime internship for 6-9 months.#DesignEnablementQualificationsMinimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.Minimum Qualifications:Candidate must be actively pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field.
Experience/knowledge in artificial intelligence, machine learning for VLSI design.
Programming Skills such as Python and/or C.
Software tools and libraries such as TensorFlow and/or PyTorch.
Course work related to algorithms, artificial intelligence, machine learning, VLSI design.
Preferred Qualifications:
Fundamental of AI and Machine Learning: Knowledge in various machine learning techniques, including deep learning, reinforcement learning, and optimization algorithms, with a focus on their applications to VLSI design problems and their tradeoffs.
Basic knowledge of VLSI Design Concepts: Understands fundamental concept in VLSI design, including logic synthesis, placement, routing and timing analysis.
Familiarity with VLSI Design Tools: Experience with CAD tools commonly used in VLSI design, such as Cadence, Synopsys tools.
Inside this Business GroupAs 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 Moore’s Law to bring smart, connected devices to every person on Earth.Posting StatementAll 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.BenefitsWe 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. (https://jobs.intel.com/en/benefits)Annual Salary Range for jobs which could be performed in US, Colorado, New York, Washington, California: $63,000.00-$166,000.00Salary range dependent on a number of factors including location and experienceWorking ModelThis role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as 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.