Kerja Sepenuh Masa Sr - MTS x86 Platform Quality Engineer (SLT System-Level Test), Gaji tinggi SGD 5,000 di AUREXIS TECH PTE. LTD. Islandwide (Singapore) - Maukerja

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 *************