Intelligence Engineer for Automated Placement and Routing
hace 6 horas
At Intel, we're pushing the boundaries of innovation in graphics chips. As a Rls Student Worker For Automatic Place, Routing And, you'll play a key role in developing cutting-edge methodologies and solutions for our next-generation GPUs.
Company OverviewThe Accelerated Computing Systems and Graphics (AXG) business group at Intel is dedicated to accelerating our execution in high-performance computing and graphics. Our mission is to make zeta-scale computing accessible to every human on the planet by the end of this decade, while entertaining, educating, and connecting billions of people with seamless visual experiences.
Job DescriptionAs a member of the RLS team, you'll work alongside senior engineers to develop auto-convergence solutions for Intel GPU graphics chips. Your contributions will focus on areas such as synthesis, scan, cell placement, routing, clock tree mesh, power efficiency, and ML/AI-based methodology development and implementation.
Required Skills and Qualifications- Bachelor's degree in Electronic, Electrical engineering, Computer Science, or related field
- Basic UNIX/LINUX terminal usage skills
- Scripting skills in any language, with Python, TCL, PERL, CSH being preferred
- Less than 2 years to graduation
- Intermediate to Advanced English level
As an Intel employee, you'll have access to:
- Technical career growth opportunities with industry-leading foundry technologies
- Collaboration with EDA vendors on the development of next-generation capabilities
- Breakthrough innovation in low-power optimizations
- Inclusive work environments
- Access to principal engineers and highly competitive team members
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