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GPU Design Flow Student Worker

San José, Provincia de San José, Costa Rica Job ID JR0273722 Job Category Intern/Student Work Mode Hybrid Experience Level Intern Full/Part Time Full Time
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Job Description

If you are passionate about Computer Graphics, GPUs, AI or High-Performance Computing, and would like to work with leading technologies, then our Graphics and AI Hardware Engineering team has an opportunity for you. Our team is delivering discrete and integrated graphics IPs for Client and Datacenter markets.

In this position you will be part a world-class IP physical design team developing groundbreaking high-performance GPU/GFX IPs that are targeted for High-End Graphics, Gaming, AI, Media processing, and more.

The ideal candidate will be responsible for the development, implementation and execution of a variety of RLS-TFM design flows optimizations for both Integrated and Discrete Graphics projects. The candidate will also be required to work closely with the rest of the project team members to resolve issues which arise during the design cycle. You should have strong problem solving, communication, time management, resilience, multitasking skills as well as the ability to work in ever-changing environments. Strong initiative and discipline to follow-through is also needed.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes and project work, internships and/or work experience.

Minimum Qualifications

  • Active student from Electronics, Electrical, Computer & Networks, Mechatronics engineering or related/relevant degree. (either Bachelor, Licenciatura or Master's degree).

  • Must be at least 1 year away from finishing degree studies/courses.

  • 3+ months of experience or coursework in circuit design or VLSI-ASIC-FPGA flow or design prototyping.

  • Intermediate English Level.

Preferred Qualifications

  • Basic to intermediate Python scripting experience.

  • Availability to work at least 30 hours per week.

  • Basic experience with EDA Tools.

  • Advanced English Level.

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.
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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.”

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