- Singapore
AUREXIS TECH PTE. LTD. Hiring! Full Time Sr - MTS x86 Platform Quality Engineer (SLT System-Level Test) in , Earn up to SGD 9,500 - Ricebowl
Sr - MTS x86 Platform Quality Engineer (SLT System-Level Test)
AUREXIS TECH PTE. LTD.
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Job Description
Responsibilities
KEY RESPONSIBILITIES
Own or lead System Level Test (SLT) debug for customer-return, qualification and factory-reported failures.
Analyze boot failures, POST errors, hangs, resets, crashes, performance anomalies, device-enumeration issues and reliability failures.
Collect and interpret serial-console output, firmware traces, event logs, kernel logs, crash data, diagnostic results and platform telemetry.
Generate hypothesis and able to come up with experiments and electrical tests to prove the hypothesis for observed failures
Work with cross-functional teams to improve SLT coverage, diagnostics, automation, screening effectiveness, test stability, cycle time and failure triage.
Prepare clear technical reports and communicate conclusions, risk and recommended actions to engineering, management and customer-quality stakeholders.
Lead cross-functional technical initiatives appropriate to the assigned job level and mentor engineers in system-debug and root-cause methods.
PREFERRED EXPERIENCE:
Degree in Electrical/Electronics/Computer Engineering or equivalent with 3 or more years of relevant experiences
Hands-on experience developing, executing or debugging system-level tests (UBUNTU or WINDOWs based) for x86 platform (desktop, industrial PC, server, or embedded x86 devices).
Strong knowledge of x86 platform architecture, system boot flow and interactions among CPU, memory, storage, PCIe, USB and network interfaces.
Experience with BIOS/UEFI, firmware initialization, POST-code interpretation, serial-console debug and operating-system boot troubleshooting.
Knowledge of using system-debug instruments and interfaces such as UART, JTAG, oscilloscopes, logic analyzers and platform power or signal measurements.
Proficiency in Linux command-line environments and at least one relevant language: Python, C/C++, Perl or Bash.
Experience integrating AI agents into daily workflows is highly desirable.
We invite qualified candidates to apply online or email their CV to *************
Own or lead System Level Test (SLT) debug for customer-return, qualification and factory-reported failures.
Analyze boot failures, POST errors, hangs, resets, crashes, performance anomalies, device-enumeration issues and reliability failures.
Collect and interpret serial-console output, firmware traces, event logs, kernel logs, crash data, diagnostic results and platform telemetry.
Generate hypothesis and able to come up with experiments and electrical tests to prove the hypothesis for observed failures
Work with cross-functional teams to improve SLT coverage, diagnostics, automation, screening effectiveness, test stability, cycle time and failure triage.
Prepare clear technical reports and communicate conclusions, risk and recommended actions to engineering, management and customer-quality stakeholders.
Lead cross-functional technical initiatives appropriate to the assigned job level and mentor engineers in system-debug and root-cause methods.
PREFERRED EXPERIENCE:
Degree in Electrical/Electronics/Computer Engineering or equivalent with 3 or more years of relevant experiences
Hands-on experience developing, executing or debugging system-level tests (UBUNTU or WINDOWs based) for x86 platform (desktop, industrial PC, server, or embedded x86 devices).
Strong knowledge of x86 platform architecture, system boot flow and interactions among CPU, memory, storage, PCIe, USB and network interfaces.
Experience with BIOS/UEFI, firmware initialization, POST-code interpretation, serial-console debug and operating-system boot troubleshooting.
Knowledge of using system-debug instruments and interfaces such as UART, JTAG, oscilloscopes, logic analyzers and platform power or signal measurements.
Proficiency in Linux command-line environments and at least one relevant language: Python, C/C++, Perl or Bash.
Experience integrating AI agents into daily workflows is highly desirable.
We invite qualified candidates to apply online or email their CV to *************
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