Description
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.
THE ROLE
As a Senior Failure Analysis Engineer, you will play a critical role in ensuring the reliability, performance, and successful deployment of AMD's next-generation GPU-accelerated server platforms and AI infrastructure. Working at the intersection of hardware, firmware, validation, manufacturing, and quality engineering, you will investigate complex system- and rack-level failures across high-performance compute environments and help drive rapid resolution of critical technical issues.
This role offers the opportunity to work on cutting-edge server technologies that power large-scale AI and data center deployments. You will collaborate with world-class engineering teams, support internal AMD sites, and influence platform reliability through deep technical analysis, structured root cause investigations, and continuous process improvements. If you thrive in hands-on lab environments, enjoy solving difficult technical challenges, and want to make a direct impact on products deployed at scale, this is an exciting opportunity to be part of AMD's data center growth journey.
THE PERSON
The ideal candidate is a highly analytical problem solver who enjoys tackling complex technical challenges and driving issues to resolution. You are naturally curious, detail-oriented, and comfortable working through ambiguous problems involving hardware, firmware, and system interactions.
You excel in collaborative environments, effectively partnering with cross-functional teams while also taking ownership of independent investigations. Strong communication skills are essential, as you'll be expected to translate highly technical findings into clear recommendations and corrective actions for a broad range of stakeholders.
You are passionate about continuous learning, embrace emerging technologies and AI-assisted workflows, and enjoy helping others by creating documentation, sharing knowledge, and improving engineering processes.
KEY RESPONSIBILITIES
- Within the first several months, become proficient with AMD server platforms, rack-level infrastructure, debug workflows, and failure analysis methodologies.
- Drive root cause investigations involving server, rack, and data center level failures across CPU, GPU, memory, PCIe, networking, storage, power, and thermal subsystems.
- Support internal AMD sites with system bring-up, issue triage, troubleshooting, and debug activities to accelerate deployment readiness.
- Reproduce field and manufacturing failures in laboratory environments and validate corrective actions that improve product quality and reliability.
- Partner with firmware, validation, design, manufacturing, and quality teams to drive cross-functional resolution of complex technical issues.
- Develop and maintain troubleshooting guides, standard operating procedures, and technical documentation that enable effective issue resolution across global teams.
- Contribute to Root Cause Analysis (RCA) and Failure Mode and Effects Analysis (FMEA) efforts, helping drive systemic improvements in reliability, serviceability, and testability.
- Leverage AI-assisted engineering tools and workflows to improve debug efficiency, accelerate log analysis, and enhance knowledge-sharing capabilities.
- Serve as a technical resource and mentor for internal teams by promoting best practices for failure isolation, structured debugging, and problem-solving.
PREFERRED EXPERIENCE
- Hands-on experience debugging server platforms, rack-level systems, or data center infrastructure.
- Strong understanding of GPU server architectures and large-scale compute platforms.
- Experience troubleshooting CPU, GPU, memory, PCIe, networking, storage, power delivery, and thermal subsystems.
- Knowledge of platform bring-up procedures, manufacturing test environments, and hardware validation methodologies.
- Familiarity with BIOS/UEFI, BMC, IPMI, firmware debugging, and system management technologies.
- Experience using oscilloscopes, logic analyzers, protocol analyzers, power analyzers, and similar debug instrumentation.
- Ability to analyze system logs, firmware traces, and telemetry data to identify root causes and recommend corrective actions.
- Experience creating RCA, FMEA, troubleshooting, or technical documentation.
- Familiarity with AI-assisted engineering workflows, including log analysis, automated troubleshooting, and knowledge-base development.
- Strong collaboration, communication, and stakeholder management skills.
- Willingness to travel up to 25%.
ACADEMIC CREDENTIALS
- Bachelor's or master's degree preferred in Electrical Engineering, Computer Engineering, Systems Engineering, or a related technical field.
LOCATION
Secaucus, NJ (Onsite)
THIS ROLE IS NOT ELIGIBLE FOR VISA SPONSORSHIP.
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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.
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