Rls Student Worker for Automatic Place, Routing and

hace 2 semanas


San José, Costa Rica Intel A tiempo completo

Synthesis, Scan, cell placement, routing and connectivity, clock tree mesh, power efficiency, and ML/AI based methodology development and implementation for Intel GPU graphics chips are some of the areas you can contribute and grow your career while you finish your studies at the university-college.
Working with senior team members, developing auto-convergence solutions are within the scope of this role. The RLS team offers technical career growth opportunities such as: working with industry leading foundry technologies, working with EDA vendors on development of next generation capabilities, breakthrough innovation in low power optimizations, inclusive work environments, access to principal engineers and highly competitive team members from which to learn from and codevelop methodologies and solutions.

Behavioral traits:

- Problem solving skills.
- Able to work in a team.
- Self-motivated, resilience to ambiguity and schedule pressure.
- Eagerness to grow and learn a career at Intel.
**Qualifications**

**Minimum Qualifications**:

- BS/Lic on Electronic, Electrical engineering, Computer Science or related field.
- UNIX/LINUX terminal basic usage
- Scripting skills in any language, preferred are Python, TCL, PERL, CSH
- Less than 2 years to graduation
- Intermediate to Advanced English level
**Preferred Qualifications**:

- Synopsys suite basic knowledge: ICC, Design Compiler, Fusion Compiler, Library compiler
- Library collateral standards basic knowledge.
- Data analytics/ML are optional but highly valued.
**Inside this Business Group**
The focus of Accelerated Computing Systems and Graphics (AXG) is to accelerate our execution in strategic growth areas of high-performance computing and graphics. AXG is chartered with delivering high performance computing and graphics solutions (IP, Software, Systems), for both integrated and discrete segments across client, enterprise and data center. Our mission is to make zeta-scale computing accessible to every human on the planet by the end of this decade and to entertain, educate and connect billions of people with buttery smooth visual experiences.



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