JOBSEARCHER

Validation Engineer

KEY RESPONSIBILITIES:
  • 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 andproduction.
  • 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 Rootcause 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 systemdowntime.
  • 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-siliconvalidation, 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-controlsubsystems.
  • Experience debugging firmware, drivers, operating systems, and hardware interactions.
  • Experience with firmware tuning, PVT characterization, voltage, temperature, andfrequency margining.
  • Programming and automation experience in Python, shell scripting, C++, C#, orequivalent languages.
  • Proficiency with oscilloscopes, logic analyzers, multimeters, regulated power supplies, and thermal cameras.
  • Ability to interpret schematics, component datasheets, logs, telemetry, and validationdata.
  • Experience with GPU data-center platforms and air- or liquid-cooled infrastructure ispreferred.
  • Experience working with AI tools or agent-based automation to engineering workflows ispreferred.
ACADEMIC CREDENTIALS:
  • Bachelor's or masters degree in electrical engineering, Computer Engineering, or relatedfield