System Failure Analysis Engineer (GPU Servers / Data Center)

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: Analysis (FA) Engineer, you will play a critical role in diagnosing, isolating, and resolving complex failures across GPU-accelerated server platforms deployed in rack-level and data center environments, including ODM factory support. This is a highly technical, hands-on role focused on server bring-up, system-level debug, and rack integration troubleshooting across CPU, GPU, memory, PCIe, networking, power delivery, and thermal subsystems. You will leverage advanced electrical, firmware, and platform-level diagnostic tools, along with AI-assisted debug and failure analysis techniques, to accelerate root cause identification and improve system reliability at scale. This role requires deep experience with server and rack-level platforms, including BIOS/BMC behavior and data center operations—not just component-level failure analysis. You will collaborate closely with platform design, firmware, validation, manufacturing, and quality teams to improve product robustness, shorten debug cycles, and drive corrective actions across deployed infrastructure. THE PERSON: The ideal candidate is analytical, detail-oriented, and thrives in high-visibility debug environments. You are comfortable owning complex investigations spanning hardware, firmware, power sequencing, and system interoperability in multi-node GPU server systems. You bring strong experience in server bring-up and rack-level troubleshooting and can translate technical findings into clear RCA/FMEA documentation and actionable design improvements. You are equally effective working independently in lab environments and cross-functionally with engineering, manufacturing, and quality teams. You are also comfortable adopting AI-assisted engineering workflows to enhance debug efficiency, log analysis, and knowledge sharing. KEY RESPONSIBILITIES: Platform & System Failure Analysis • Perform component-, system-, and rack-level failure analysis on GPU-accelerated server platforms • Debug issues across CPU, GPU, memory, PCIe, networking, storage, power, and thermal subsystems • Support server bring-up and manufacturing test failures (POST, BIOS/UEFI configuration, PCIe enumeration, firmware interactions) • Analyze BIOS, BMC, IPMI, and system logs to identify hardware/firmware interaction issues • Reproduce factory or field failures in lab environments to validate root cause and corrective actions • Utilize system-level debug tools (oscilloscopes, logic analyzers, protocol analyzers, power tools) ODM Factory Enablement & Execution • Support ODM manufacturing test, failure debug, and troubleshooting • Lead issue triage and structured debug activities with ODM partners • Train ODM teams on debug procedures and failure isolation techniques • Develop and maintain SOPs, debug guides, and troubleshooting documentation • Manage factory escalations with clear diagnosis, recommendations, and communication Cross-Functional Collaboration • Partner with design, firmware, validation, manufacturing, and quality teams to resolve issues • Drive RCA/FMEA documentation with clear problem statements and data-backed actions • Provide feedback to improve DfR, DfT, and DfS AI-Assisted Debug & Knowledge Development • Use AI tools to: • Analyze logs and failure patterns • Improve debug efficiency • Contribute to scalable debug knowledge bases PREFERRED EXPERIENCE: • Hands-on experience debugging server platforms in rack-level or data center environments • Experience with GPU servers and multi-node systems • Strong understanding of power sequencing, PCIe, memory, and thermal systems • Familiarity with BIOS/UEFI, BMC, IPMI, and firmware-level debugging • Proficiency with lab debug tools (oscilloscopes, logic analyzers, protocol analyzers, power analyzers) • Experience using AI tools for log analysis, debug workflows, or knowledge development • Strong cross-functional collaboration and communication skills • Excellent technical documentation skills • Willingness to travel up to 25% ACADEMIC CREDENTIALS • Bachelor’s or master's degree in Electrical Engineering required LOCATION: Austin, TX (Onsite) This role is not eligible for visa sponsorship. #LI-CS1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy. THE ROLE: Analysis (FA) Engineer, you will play a critical role in diagnosing, isolating, and resolving complex failures across GPU-accelerated server platforms deployed in rack-level and data center environments, including ODM factory support. This is a highly technical, hands-on role focused on server bring-up, system-level debug, and rack integration troubleshooting across CPU, GPU, memory, PCIe, networking, power delivery, and thermal subsystems. You will leverage advanced electrical, firmware, and platform-level diagnostic tools, along with AI-assisted debug and failure analysis techniques, to accelerate root cause identification and improve system reliability at scale. This role requires deep experience with server and rack-level platforms, including BIOS/BMC behavior and data center operations—not just component-level failure analysis. You will collaborate closely with platform design, firmware, validation, manufacturing, and quality teams to improve product robustness, shorten debug cycles, and drive corrective actions across deployed infrastructure. THE PERSON: The ideal candidate is analytical, detail-oriented, and thrives in high-visibility debug environments. You are comfortable owning complex investigations spanning hardware, firmware, power sequencing, and system interoperability in multi-node GPU server systems. You bring strong experience in server bring-up and rack-level troubleshooting and can translate technical findings into clear RCA/FMEA documentation and actionable design improvements. You are equally effective working independently in lab environments and cross-functionally with engineering, manufacturing, and quality teams. You are also comfortable adopting AI-assisted engineering workflows to enhance debug efficiency, log analysis, and knowledge sharing. KEY RESPONSIBILITIES: Platform & System Failure Analysis • Perform component-, system-, and rack-level failure analysis on GPU-accelerated server platforms • Debug issues across CPU, GPU, memory, PCIe, networking, storage, power, and thermal subsystems • Support server bring-up and manufacturing test failures (POST, BIOS/UEFI configuration, PCIe enumeration, firmware interactions) • Analyze BIOS, BMC, IPMI, and system logs to identify hardware/firmware interaction issues • Reproduce factory or field failures in lab environments to validate root cause and corrective actions • Utilize system-level debug tools (oscilloscopes, logic analyzers, protocol analyzers, power tools) ODM Factory Enablement & Execution • Support ODM manufacturing test, failure debug, and troubleshooting • Lead issue triage and structured debug activities with ODM partners • Train ODM teams on debug procedures and failure isolation techniques • Develop and maintain SOPs, debug guides, and troubleshooting documentation • Manage factory escalations with clear diagnosis, recommendations, and communication Cross-Functional Collaboration • Partner with design, firmware, validation, manufacturing, and quality teams to resolve issues • Drive RCA/FMEA documentation with clear problem statements and data-backed actions • Provide feedback to improve DfR, DfT, and DfS AI-Assisted Debug & Knowledge Development • Use AI tools to: • Analyze logs and failure patterns • Improve debug efficiency • Contribute to scalable debug knowledge bases PREFERRED EXPERIENCE: • Hands-on experience debugging server platforms in rack-level or data center environments • Experience with GPU servers and multi-node systems • Strong understanding of power sequencing, PCIe, memory, and thermal systems • Familiarity with BIOS/UEFI, BMC, IPMI, and firmware-level debugging • Proficiency with lab debug tools (oscilloscopes, logic analyzers, protocol analyzers, power analyzers) • Experience using AI tools for log analysis, debug workflows, or knowledge development • Strong cross-functional collaboration and communication skills • Excellent technical documentation skills • Willingness to travel up to 25% ACADEMIC CREDENTIALS • Bachelor’s or master's degree in Electrical Engineering required LOCATION: Austin, TX (Onsite) This role is not eligible for visa sponsorship. #LI-CS1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.