Senior Product Quality Engineer(ATE)

Thundersoft

Singapore

On-site

SGD 90,000 - 150,000

Full time

3 days ago
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Job summary

Thundersoft in Singapore is seeking an experienced Senior Engineer to lead and contribute to debugging and optimizing automated test equipment (ATE) for customer returns and manufacturing-test failures. You will leverage production ATE and electrical characterization methods to isolate issues and improve yield.

You will develop automation and data-analysis tools in Python, C/C++, Tcl, Perl, or Unix shell, review datalogs and failure signatures, and mentor engineers on ATE debugging and failure

Qualifications

  • Senior Engineer: BS with 5+ years, MS with 3+ years, or PhD with 0–1+ years of relevant experience.
  • MTS: BS with 8+ years, MS with 6+ years, or PhD with 3+ years of relevant experience.

Responsibilities

  • Lead or contribute to component debug for customer-return and manufacturing-test failures using production ATE and electrical characterization methods.
  • Debug and optimize ATE test programs, test methods, test limits, levels, timings and production test flows.
  • Analyze ATE datalogs, failure signatures, shmoo results and characterization data to isolate silicon, design, test, process or application-related causes.
  • Develop and execute electrical experiments and characterization plans to validate hypotheses.
  • Drive root-cause investigations, containment, corrective actions and recurrence prevention.
  • Develop automation, data-analysis and diagnostic tools using Python, C/C++, Tcl, Perl or Unix shell scripting.
  • Prepare clear technical reports and communicate conclusions, risk and recommended actions to engineering and management stakeholders.
  • Lead cross-functional technical projects appropriate to the assigned job level and mentor engineers in ATE debug and failure-analysis methods.

Skills

Python
C/C++
Tcl
Perl
Verilog
VHDL
Unix shell
Linux
AI integration

Education

BS in Electrical Engineering or related field
MS or PhD (optional)

Tools

VERIGY 93K

Job description

  • Lead or contribute to component debug for customer-return and manufacturing-test failures using production ATE and electrical characterization methods.
  • Debug and optimize ATE test programs, test methods, test limits, levels, timings and production test flows.
  • Analyze ATE datalogs, failure signatures, shmoo results and characterization data to isolate silicon, design, test, process or application-related causes.
  • Develop and execute electrical experiments and characterization plans to validate hypotheses.
  • Drive root-cause investigations, containment, corrective actions and recurrence prevention.
  • Develop automation, data-analysis and diagnostic tools using Python, C/C++, Tcl, Perl or Unix shell scripting.
  • Prepare clear technical reports and communicate conclusions, risk and recommended actions to engineering and management stakeholders.
  • Lead cross-functional technical projects appropriate to the assigned job level and mentor engineers in ATE debug and failure-analysis methods.

PREFERRED EXPERIENCE:

  • ATE debug for x86, CPU, SoC or other complex digital semiconductor products.
  • Strong understanding of VERIGY 93K based test-program architecture, development and execution.
  • Experience debugging test programs, test methods, patterns, vectors, functional failures, parametric failures and limit-related issues.
  • Experience interpreting tester datalogs, design and run DOE for failure-signature analysis.
  • Working knowledge of DFT concepts including ATPG scan, scan compression, logic diagnosis, memory BIST and JTAG/boundary scan.
  • Debug of high-speed interfaces such as PCIe, DDR, USB, SATA or Ethernet using ATE-based methods.
  • Strong knowledge of digital logic, circuit analysis, CMOS fundamentals, semiconductor device behavior and electrical failure mechanisms is highly desirable.
  • Proficiency in at least one relevant language: Python, C/C++, Tcl, Perl, Verilog, VHDL or Unix shell.
  • Working knowledge of Linux and structured engineering data analysis.
  • Experience integrating AI agents into daily workflows is highly desirable.

ACADEMIC CREDENTIALS & EXPERIENCE

  • Senior Engineer: BS with 5+ years, MS with 3+ years, or PhD with 0–1+ years of relevant experience.
  • MTS: BS with 8+ years, MS with 6+ years, or PhD with 3+ years of relevant experience.
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