AI-Driven Product Development Intern (Co-op)

Advanced Micro Devices

Austin, Northern (TX, KY)

Hybrid

USD 27,552,000 - 41,328,000

Full time

14 days+

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Job summary

AMD in Austin, TX is seeking a highly motivated Product Development engineering intern/co-op to join our team. In this role you will be involved in characterization and building production test programs for next-generation AMD processors, while learning through real-world projects that impact millions of end-users.

This full-time internship offers training, exposure to multi-functional teams, and the chance to contribute to production ramp, yield improvements, and product performance.

Qualifications

  • Currently enrolled in a US-based university as an undergraduate in Computer Science, Computer Engineering, Electrical Engineering, or related field.
  • Familiarity with C++, Linux, scripting languages and version control is expected.
  • Interest in product development, testing, and data-driven analysis.

Responsibilities

  • Support Product Development Engineers in characterization and build production test programs.
  • Perform engineering and correlation studies to improve yield and drive production ramp.
  • Collaborate with multi-functional teams to resolve production issues and improve efficiency.
  • Build and maintain technical documents, debug test programs for next‑gen AMD processors.
  • Participate in product debug and characterization to identify performance sensitivities.

Skills

C++
Linux
Perl
Ruby
Shell scripting
Java
Git
Subversion (SVN)
CVS
RCS
Agile methodologies
Digital logic

Education

US university undergraduate CS/CE/EE

Tools

Logic analyzers
Oscilloscopes
Volmeters

Job description

AMD in Austin, TX is seeking a highly motivated Product Development engineering intern/co-op to join our team. In this role you will be involved in characterization and building production test programs for next-generation AMD processors, while learning through real-world projects that impact millions of end-users.

This full-time internship offers training, exposure to multi-functional teams, and the chance to contribute to production ramp, yield improvements, and product performance.

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