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AMD
Secaucus, New Jersey
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
Join a highly visible engineering team responsible for bringing up, debugging, and improving next-generation server and rack-scale platforms deployed in data center environments. As a Senior Failure Analysis Engineer, you will be among the first engineers to investigate, troubleshoot, and resolve complex system-level issues on new hardware platforms, partnering closely with design, firmware, validation, manufacturing, quality, and infrastructure teams.
This role offers the opportunity to work on cutting-edge technologies while driving root cause analysis, platform reliability, and manufacturing readiness across the product lifecycle. You will play a key role in identifying and resolving complex hardware and firmware interactions, supporting platform bring-up activities, improving debug processes, and helping scale organizational knowledge through technical documentation and AI-assisted engineering workflows.
This is an ideal opportunity for an engineer who enjoys solving difficult technical problems, working across multiple disciplines, and making a measurable impact on the success of next-generation data center products.
THE PERSON
The ideal candidate is naturally curious, analytical, and motivated by solving complex technical challenges. They thrive in environments where not every answer is immediately available and are comfortable investigating issues across multiple engineering domains to identify root causes and drive resolution. They demonstrate strong communication skills, effectively manage stakeholder expectations during ongoing investigations, and can clearly communicate technical findings to both engineering and cross-functional teams.
Successful candidates are collaborative, adaptable, and persistent problem-solvers who enjoy learning new technologies, working in highly dynamic environments, and continuously improving how engineering teams operate. They embrace new tools and technologies, including AI-assisted workflows, to improve efficiency, accelerate troubleshooting, and scale technical knowledge across the organization.
Join a highly visible engineering team responsible for bringing up, debugging, and improving next-generation server and rack-scale platforms deployed in data center environments. As a Senior Failure Analysis Engineer, you will be among the first engineers to investigate, troubleshoot, and resolve complex system-level issues on new hardware platforms, partnering closely with design, firmware, validation, manufacturing, quality, and infrastructure teams.
This role offers the opportunity to work on cutting-edge technologies while driving root cause analysis, platform reliability, and manufacturing readiness across the product lifecycle. You will play a key role in identifying and resolving complex hardware and firmware interactions, supporting platform bring-up activities, improving debug processes, and helping scale organizational knowledge through technical documentation and AI-assisted engineering workflows.
This is an ideal opportunity for an engineer who enjoys solving difficult technical problems, working across multiple disciplines, and making a measurable impact on the success of next-generation data center products.
THE PERSON
The ideal candidate is naturally curious, analytical, and motivated by solving complex technical challenges. They thrive in environments where not every answer is immediately available and are comfortable investigating issues across multiple engineering domains to identify root causes and drive resolution. They demonstrate strong communication skills, effectively manage stakeholder expectations during ongoing investigations, and can clearly communicate technical findings to both engineering and cross-functional teams.
Successful candidates are collaborative, adaptable, and persistent problem-solvers who enjoy learning new technologies, working in highly dynamic environments, and continuously improving how engineering teams operate. They embrace new tools and technologies, including AI-assisted workflows, to improve efficiency, accelerate troubleshooting, and scale technical knowledge across the organization.
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