Graphics Hardware Signoff Student Worker
Intel Corporation
San Jose, CR
hace 5 días

Job Description

If you are passionate about computer graphics and working with leading graphics engineers on Intel's latest GPU / CPU architecture, then our Graphics and Throughput Computing Hardware Engineering (GTCHE) team has opportunities for you.

We are passionate about delivering best-in-class visual experiences for users to immerse themselves. The Visual and Machine Learning IP team is within GTCHE delivering discrete and integrated graphics IPs to client and datacenter market.

In this position as a Graphics Hardware Signoff Student Worker 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, Artificial Intelligence, Media processing, and more.

This is a great opportunity to join a talented team that is innovating in ASIC implementation and verification of multi-million gate designs in advanced process nodes across multiple foundries.

Your responsibilities may include, but not be limited to :

  • Implementing signoff capabilities and flows for Static Timing Analysis, Electrical Rule Checkers, Parasitic Extraction, Reliability Verification across internal and external foundry processes
  • Developing timing tools, understand design requirements / objectives and develop signoff conditions and milestone checklists appropriate with the design project goals
  • Collaborating with 3rd party EDA vendors to resolve issues and drive feature improvements in signoff tools
  • Qualifications

    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.

    Experience listed below would be obtained through a combination of your school work / classes / research and / or relevant previous job and / or internship experiences.

    Minimum Requirements

  • Bachelor's degree student in Electrical / Electronic Engineering, Computer Science, Computers Engineering or related engineering field
  • Must be graduating in 1.5+ years
  • 6+ months of academic experience in TCL, Perl and Python programming for robust flow automation
  • Availability to work at least 24 hours per week
  • Advanced English level
  • Candidate must have unrestricted permanent right to work in Costa Rica
  • Preferred Qualifications :

  • Master's degree student on mentioned engineering areas
  • Proficiency with one or more of the following Industry standard EDA tools : Redhawk, StarRC, Primetime
  • 6+ months of academic experience on electrical and physical rules checkers for meeting design robustness
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