Failure Analysis Engineer, Server PCBA Design, Power

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Secaucus, NJ
Salary
$130,400–$195,600 / yr
Posted
21 days ago
Freshness
Confirmed live yesterday
Closes
Sep 11, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $163k
$117k most similar roles pay here $256k

This role pays less than 76% of similar roles. Most pay $165,800–$233,050 — the shaded band above. At the midpoint, this role pays about $163k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 474 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 474 roles with salary data.

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At a glance

TL;DR · Failure Analysis Engineer, Server PCBA Design, Power

Failure Analysis Engineer - Server PCBA Design - Power will lead end-to-end hardware root cause analysis for server PCBAs, focusing on power delivery, PDBs, bridge boards, sequencing, and high-speed IO paths. The role involves investigating bring-up, factory, and customer failures by performing schematic and layout reviews, SI/PI assessments, and component-level electrical debug using oscilloscopes, logic analyzers, and imaging tools. You will determine if issues stem from design, manufacturing, component quality, or firmware interactions while collaborating with cross-functional teams to drive corrective actions. Technical requirements include proficiency in Python, Linux, and SQL to automate data collection and log parsing. This position addresses complex technical challenges within server platforms, including GPU/accelerator systems and high-speed interconnects, ensuring reliable power distribution and hardware integrity across dense compute environments and large-scale infrastructure components.

What you'll do

  • Lead end-to-end hardware root cause analysis for server PCBAs including power delivery, bridge boards, and high-speed IO paths.
  • Identify if failures stem from design, layout, component quality, manufacturing processes, or firmware-controlled behaviors.
  • Execute structured debug plans using oscilloscopes, logic analyzers, schematic reviews, and electrical measurements to isolate faults.
  • Perform board-level electrical debug for shorts, opens, rail droop, sequencing failures, and intermittent behavior.
  • Partner with systems integration teams to distinguish between hardware defects and firmware or silicon issues.
  • Automate data collection, log parsing, and failure correlation using Python, Linux tools, and SQL.
  • Create technical reports and 8D documentation to communicate failure modes and corrective actions to stakeholders.
  • Drive cross-functional corrective actions with design, manufacturing, supplier quality, and customer-facing teams.

What we're looking for

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Equivalent hands-on experience in server motherboard design, validation, component-level electrical debug, hardware failure analysis, high-speed IO debug, AI GPU platforms, or complex system-level RCA.
  • Experience performing end-to-end hardware root cause analysis for server PCBAs including power delivery, PDBs, bridge boards, and high-speed IO paths.
  • Proficiency in using oscilloscopes, logic analyzers, protocol analyzers, digital multimeters, and other lab validation equipment.
  • Ability to analyze schematics and layouts to identify issues related to design, manufacturing, component quality, or SI/PI behavior.
  • Skill in automating data collection and analysis using Python, Linux tools, SQL, and shell scripting.
  • Experience leading cross-functional RCA reviews with firmware, silicon, manufacturing, and supplier quality teams to drive corrective actions.
  • Knowledge of power integrity, sequencing, PDB architectures, PCIe link behavior, and failure modes for dense server platforms or AI GPU systems (preferred).

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