PMIC Product Test Engineer, up to Staff in Hsinchu at honor foundations

Date Posted: 12/13/2024

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Hsinchu
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    12/13/2024

Job Description


Company:

Qualcomm Semiconductor Limited

Job Area:

Engineering Group, Engineering Group > Hardware Engineering

General Summary:



The PMIC ATE Test Engineer will be responsible for ATE test solutions development, both hardware and software, and participate in data reviews which will require close collaboration with design, system, process, product, manufacturing engineers and vendors.  The job also requires the engineer to drive for short term and longterm test time reduction and yield improvement to achieve milestones without compromising production quality for multiple projects in parallel. We are also looking for an engineer who has strong innovation mindset and able to drive the idea for efficiency improvement on daily routine work.



Requirements :



  • At least 10 years industrial experience in related fields and able to communicate with global teams in both written and verbal English.



  • Experience with at least 1 ATE test platform: Teradyne-uFlex(VB) , Advantest-93k



  • Experience with ATE test solution development both on HW design and Test program development



  • Decent understanding of power management circuit such as LDO, BUCK, BOOST, etc.



  • Experience with test data, yield, and Bin pareto analysis using Exensio, O+, etc.



  • Extra Software skills such as C#, Python etc. for tooling development



  • Proactive and active personality and able to work independently when facing a problem



  • Strong communications skills to be able to organize effectively and document work thoroughly while working with different groups



  • Ability to work with common test equipment (oscilloscope, power supply, etc) is a requirement



  • Interested in machine learning to develop new test methodology for test cost reduction. Knowledge of machine learning and AI model experience is a bonus.




Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.

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