Failure Analysis & Validation Engineer

TPI Global Solutions

Austin (TX)

On-site

USD 90,000 - 130,000

Full time

2 days ago
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Job summary

TPI Global Solutions is seeking an experienced Failure Analysis Engineer in Austin, TX to validate semiconductor, board, and system-level failures. You will bring up server platforms, support NPI, and debug hardware, firmware, drivers, and power/thermal systems.

You will analyze logs, develop diagnostics, automate FA workflows, and collaborate across teams to root cause issues. Travel to contract manufacturing sites will be required.

Qualifications

  • Bachelor's or master's degree in electrical or computer engineering or related field.
  • Strong fundamentals in electronics and semiconductor test, validation, and debug.
  • Experience with PCIe, memory, power and thermal subsystems is highly desirable.
  • Proficiency in Python or other scripting languages for automation.

Responsibilities

  • Develop and execute DOEs to validate silicon, board, and system-level failures.
  • Bring up server platforms and test stations to support FA for NPI and production.
  • Debug hardware, firmware, drivers, power, thermal, PCIe and memory fails.
  • Analyze logs, telemetry, and data to identify failure signatures and dependencies.
  • Develop and validate diagnostics, stress tests, and functional tests.
  • Interface with cross-functional teams to reproduce, isolate, and root cause failures.
  • Develop automation for FA workflows and maintain test environments.
  • Document processes and deliver FA reports and reviews.
  • Optimize lab workflows to reduce turnaround time and downtime.
  • Analyze large datasets, develop dashboards, and generate technical reports.
  • Travel to contract manufacturing sites to assist with bring-up and training.

Skills

EE fundamentals
GPU/CPU architecture
Test/Debug/Validation
Python
Shell scripting
C++
C# / equivalent languages
Automation development
Data analysis

Education

Bachelor's or Master's in Electrical or Computer Engineering

Tools

Oscilloscopes
Logic analyzers
Multimeters
Thermal cameras
Regulated power supplies

Job description

  • Develop and execute DOEs to Validate silicon-, board-, and system-level failures.
  • Bring up server platforms and test stations to support Failure Analysis for NPI and production.
  • Debug hardware, firmware, driver, power, thermal, PCIe and memory Fails.
  • Analyze logs, telemetry, and test data to identify failure signatures and dependencies.
  • Develop and validate diagnostics, stress tests, and functional tests.
  • Interface with multiple cross functional team members to Reproduce, Isolate and Root cause Failures.
  • Develop automation for FA workflows.
  • Configure and maintain Windows- and Linux-based server test environments.
  • Document processes, technical findings, and deliver clear FA reports and reviews.
  • Optimize lab workflows and test capability to reduce turnaround time and system downtime.
  • Analyze large datasets, develop dashboards, and generate technical reports.
  • Travel to Contract Manufacturing Sites to assist with Bring up and Training.

Preferred Experience:

  • Strong EE fundamentals, knowledgeable in GPU/CPU architecture, post-silicon validation, platform debug, or test development.
  • 5 years of experience in Test, Debug or Validation of semiconductor assemblies.
  • Strong knowledge of PCIe, memory, power management and thermal-control subsystems.
  • Experience debugging firmware, drivers, operating systems, and hardware interactions.
  • Experience with firmware tuning, PVT characterization, voltage, temperature, and frequency margining.
  • Programming and automation experience in Python, shell scripting, C++, C#, or equivalent languages.
  • Proficiency with oscilloscopes, logic analyzers, multimeters, regulated power supplies, and thermal cameras.
  • Ability to interpret schematics, component datasheets, logs, telemetry, and validation data.
  • Experience with GPU data-center platforms and air- or liquid-cooled infrastructure is preferred.
  • Experience working with AI tools or agent-based automation to engineering workflows is preferred.

Academic Credentials:

  • Bachelor's or master's degree in electrical engineering, Computer Engineering, or related field.
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