Job Description

　　The Front-End-Tools, Flows and Methodology (FE-TFM) Team within THE GPU IP Engineering, is responsible for providing methodologies for Best-in-Class RTL development, IP Delivery, SoC Integration, execution, and verification. The team develops and deploys these methodologies across all Graphics IP's.

　　We are looking for a talented Design Methodology engineer to join our team. The candidate will rapidly take features from concept to production and provide customer support, debug failures, and provide out of the box solutions.

　　Responsibilities include:

　　Develop design methodology and CAD flows in various aspects related to RTL development, IP delivery, SoC integration, and signoff checks.

　　Collaborate with the cross functional teams to develop efficient tools and features, along with flows leveraging industry tools.

　　Provide robust, scalable, and user-friendly solutions, that can easily be adopted by various Graphics IPs.

　　Create flow spec and documentation.-Support and train execution teams based on developed tools and flows.

　　Behavioral traits we are looking for:

　　Effective interpersonal and technical presentation skills.

　　Self-starter with passion for growth, real enthusiasm for continuous learning and sharing best practices across the team.

　　Qualifications

　　This is an entry level position and will be compensated accordingly.

　　You must possess the below minimum qualifications 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. Relevant experience can be obtained through school work, classes and project work, internships, and/or work experience.

　　Minimum Qualifications:

　　Bachelors Degree in Electrical or Computer Engineering, Computer Science or related STEM degree and 1+ years of experience with:

　　Perl, Python, Ruby, or Tcl

　　EDA tools such as Synopsys VCS, Design Compiler, Spyglass

　　Preferred Qualifications that will make you stand out:

　　Masters Degree in Electrical or Computer Engineering, Computer Science or related STEM degreeInside 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.

　　Other Locations

　　US, Santa Clara

　　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. (https://jobs.intel.com/en/benefits)

　　Annual Salary Range for jobs which could be performed in US, California: $91,500.00-$137,436.00

　　*Salary range dependent on a number of factors including location and experience

　　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.