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Senior Post Silicon Validation Engineer

Malaysia, Penang · Job Posted June 29, 2026
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Job Description

The GPU/accelerator products powering the world's largest AI training and inference clusters don't ship until validation says they're ready. We're looking for a senior functional validation engineer to own end-to-end validation of next-generation server accelerators — from first silicon power-on through production readiness. You'll work hands-on in the lab with cutting-edge hardware while driving debug and resolution across silicon design, firmware, and platform teams. If you want your work to directly shape the GPUs behind the AI revolution, this is the role.

Job Responsibility

  • Own functional validation for a defined domain of the server GPU/accelerator, including test plan development, lab execution, debug, and issue resolution
  • Perform post-silicon bring-up and validation in the lab, including power-on sequencing, clock/reset checkout, and IP-level functional verification
  • Validate accelerator functionality at the system level, including multi-GPU configurations, host-GPU interaction, fabric connectivity, and platform integration
  • Drive cross-functional debug with silicon design, firmware/driver, platform engineering, pre-silicon verification, and program management teams to root-cause and resolve issues
  • Develop and maintain test automation and scripting infrastructure to scale validation coverage and efficiency
  • Develop validation plans grounded in architecture specifications, identifying coverage priorities and risk areas
  • Mentor junior engineers on debug methodology, lab skills, and validation best practices
  • Represent validation in program-level reviews, communicating status, risks, and readiness assessments

Requirements

  • Experienced in post-silicon validation or a closely related hardware validation discipline
  • Hands-on lab debug experience with standard instrumentation including oscilloscopes, protocol analyzers, and logic analyzers
  • Strong understanding of GPU or accelerator architecture, including memory hierarchy, compute pipelines, and on-chip interconnects
  • Working knowledge of high-speed interconnects and fabric technologies such as PCIe, CXL, xGMI, or similar
  • Proficiency in scripting and automation using Python or similar languages
  • Bachelor's or Master's in computer engineering or computer science or electrical engineering, or comparable disciplines

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