Senior GPU Server Failure Analysis Engineer

CoreFleet Solutions; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Career growth opportunities

Direct work with leadership

Collaborative culture

Job summary

CoreFleet Solutions is seeking an experienced RMA Failure Analysis engineer to diagnose and perform root cause analysis on customer-returned GPU servers and enterprise server platforms. The role requires strong server architecture knowledge, board- and component-level debugging, and safe handling of high-value hardware.

You will read schematics, perform testing, analyze CPUs/GPUs/memory, and collaborate with design, validation, manufacturing, and quality teams to drive corrective actions and

Qualifications

• 4+ years of experience in server hardware design, validation, testing, debugging, failure analysis, or system engineering.
• Strong understanding of GPU server architecture and enterprise server platforms.
• Experience performing system-level, board-level, and component-level troubleshooting.
• Ability to read and interpret electrical schematics, block diagrams, and PCB layouts.
• Hands-on experience with BIOS, BMC, CPLD, FPGA, PCIe, memory subsystems, storage interfaces, and networking interfaces.
• Experience using laboratory equipment such as oscilloscopes, DMMs, power analyzers, logic analyzers, and protocol analyzers.
• Working knowledge of Linux operating systems and command-line troubleshooting.
• Strong understanding of root cause analysis methodologies and failure isolation techniques.
• Ability to safely handle sensitive server and GPU hardware while adhering to ESD and hardware handling best practices.

Responsibilities

• Perform failure analysis on customer-returned GPU servers, server motherboards, GPU boards, GPU baseboards, and related hardware assemblies.
• Conduct system-level, board-level, and component-level troubleshooting to identify root causes of hardware failures.
• Execute functional testing, diagnostics, and debug activities using standard lab equipment and server validation tools.
• Read and interpret schematics, block diagrams, board layouts, and manufacturing documentation.
• Analyze failures involving server subsystems including CPUs, GPUs, DIMMs, NICs, SSDs, power supplies, PCIe devices, and cooling/thermal subsystems.
• Troubleshoot hardware issues related to BIOS, BMC, CPLD, FPGA, PCIe, memory subsystems, storage interfaces, and networking interfaces.
• Perform component-level debugging including capacitors, resistors, fuses, diodes, MOSFETs, voltage regulators, ICs, and other electronic components.
• Conduct component swapping, isolation testing, and fault reproduction to validate failure mechanisms and root causes.
• Perform detailed visual and mechanical inspections to identify damaged, missing, misaligned, overheated, or improperly assembled components.
• Utilize JIRA and Zendesk to track RMA cases, document failure analysis results, manage issue resolution activities, and maintain clear communication across engineering, quality, and customer support teams.
• Document failure analysis findings, corrective actions, and recommendations to support continuous product quality improvements.
• Collaborate with design, validation, manufacturing, and quality teams to drive issue resolution and corrective actions.
• Follow proper ESD and hardware handling procedures while working with customer-returned products, engineering samples, and production hardware.

Skills

Server hardware design

GPU server architecture

Troubleshooting

Root cause analysis

Linux debugging

Lab equipment usage

Tools

Oscilloscopes

DMM

Power analyzers

Logic analyzers

Protocol analyzers

Job description

CoreFleet Solutions is seeking an experienced RMA Failure Analysis engineer to diagnose and perform root cause analysis on customer-returned GPU servers and enterprise server platforms. The role requires strong server architecture knowledge, board- and component-level debugging, and safe handling of high-value hardware.

You will read schematics, perform testing, analyze CPUs/GPUs/memory, and collaborate with design, validation, manufacturing, and quality teams to drive corrective actions and