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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