Product Engineer

THE ROLE:

The engineer will work on Embedded x86 SOC debug and failure analysis on customer and factory failures to reproduce reported failures, isolate the cause of failure and work closely with cross-functional teams including design, validation, FW and manufacturing to drive root cause analysis and corrective actions for quality improvements.

THE PERSON:

He/She should possess good debug and diagnostics skills and understanding of root cause analysis techniques to support customer return debug including System-Level Test (SLT), Automated Test Equipment (ATE) and IP level characterization for AMD Embedded x86 SOC. Implement product improvement activities to resolve quality issues, reduce cost and improve product quality. Good written and verbal communication skills are important as the engineer will interface with different engineering departments.

KEY RESPONSIBILITIES:

• Comprehend the SOC as a complete system which includes HW (Silicon), FW, BIOS & SW.

• Run and debug system-level tests (SLT), reproduce failures, and collect logs.

• Setup bench component level and system level testing and diagnostic capabilities

• Generate hypothesis and able to come up with experiments and electrical tests to prove the hypothesis for observed failures

• Run root cause analysis, resolve quality issues and drive for improvements on AMD products

• Provide technical support on device-related inquiries and generate reports for customer cases

PREFERRED EXPERIENCE:

• Experience in embedded systems, validation, or hardware/firmware debug (internship/project experience is acceptable).

• Fundamental understanding of computer architecture (CPU, memory, storage, PCIe, USB, network interfaces).

• Hands-on experience with x86 platforms (desktop, industrial PC, server, or embedded x86 devices).

• Exposure to system bring-up, BIOS/UEFI, boot flow, POST, and OS boot troubleshooting.

• Basic familiarity with hardware debug interfaces/tools (UART/serial console, JTAG, oscilloscope or logic analyzer is a plus).

• Good programming skills (C/C++, Python, Perl)

• Proficiency in leveraging AI tools like GitHub Copilot is a plus.

• Comfortable working in Linux command-line environment.