About The Position

Qualcomm Cloud System Hardware and Validation Engineering develops cutting-edge rack level AI inference solutions for next generation liquid-cooled data centers. As part of its rapid expansion, the team is looking for an experienced and highly skilled engineer to develop card and system level test processes and optimize yield to bring the next round of innovative AI products to the market.

Requirements

  • Experience developing, validating, and debugging enterprise-class hardware
  • Proven track record designing and optimizing high volume Linux-based system level test content
  • Strong understanding of manufacturing processes and quality control
  • Familiarity with failure analysis and RMA procedures
  • Hands-on experience with hardware debug equipment (oscilloscope, analyzers, JTAG, etc.)
  • Experience contributing to test automation with languages such as Python
  • Experience analyzing large data sets of hardware test results
  • Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
  • Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
  • PhD in Science, Engineering, or related field.

Responsibilities

  • Integrate hardware and software tools to develop and document manufacturing test processes
  • Contribute to test automation infrastructure to validate stability of test procedures
  • Interlock with manufacturing partners to implement high volume test, yield tracking, and debug procedures
  • Gather and analyze yield data to understand and correlate failures found during manufacturing test, customer RMAs, and internal users
  • Interlock with cross-functional teams to prioritize failure analysis and root cause issues
  • Coordinate with internal and external test teams to understand manufacturing yield trends, drive upstream test coverage, and improve product quality
  • Manage workflow including triage, prioritization, tracking, and communication with stakeholders
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