Performance Optimization Engineer for Microprocessor Systems

hace 9 horas


San José, San José, Costa Rica Intel A tiempo completo

About the Role:

We are seeking a highly skilled Performance Optimization Engineer to join our System Quality and Reliability team at Intel. As part of this team, you will be responsible for validating and debugging microprocessor failures in a platform environment.

Key Responsibilities:

  • Analyzing and isolating microprocessor failures
  • Reporting validation results to cross-functional teams
  • Creating and modifying test content to expand upon feature and component coverage of Intel products
  • Analyzing and tuning workloads to characterize their effectiveness within system-level stress experiments
  • Analyzing large sets of data related to platform testing results
  • Automating test solutions and processes
  • Debugging computer software that prevents correct operation of a system

Requirements:

  • Bachelor's degree in Computer Engineering, Electrical/Electronic Engineering, Computer Science, or related field
  • Experience programming in one or more high-level languages (Python, Perl, C#, Java)
  • Experience working with various operating systems used in platform validation, including Windows and Linux
  • Strong understanding of microprocessor architecture
  • Advanced English level

Preferred Qualifications:

  • Knowledge in version control systems (Git, Gitlab, Github)
  • Basic understanding of computer hardware, firmware, and software components
  • Experience in platform, system-level, or computer testing tools
  • Experience running and analyzing results from commercial benchmarks

About Intel:

As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth.

Work 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.



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