GPU Validation Engineer

Intel Corporation•Santa Clara, CA

22h•Onsite

About The Position

The GPU Validation Engineer plays a critical role in ensuring Intel's GPUs perform at their peak potential and deliver exceptional user experiences. As part of the graphics validation team, you will contribute to defining, developing, and executing functional validation methodologies for Intel's cutting-edge GPUs. Your work will directly impact the quality and performance of Intel's GPU products, driving innovation for media, display, and system-level features that power modern computing experiences. This position offers the opportunity to collaborate across teams to troubleshoot, optimize designs, and enhance validation strategies, helping Intel maintain its leadership in the GPU industry.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a STEM related field or a Master’s degree in a related field with no prior experience required.
Experience should include the following: GPU validation
Strong technical expertise in GPU architecture and system-level interactions.

Nice To Haves

Master's degree or higher in Electrical Engineering, Computer Engineering, or related disciplines.
GPU debug process experience
Familiarity with post-silicon validation infrastructure and test environment development.
Experience with silicon debug, troubleshooting, and failure analysis methodologies.
Proven ability to communicate findings effectively across multidisciplinary teams.

Responsibilities

Define and execute GPU functional validation plans to ensure product performance, power, and area goals are met.
Perform silicon debug and execute tests to identify root causes and resolve GPU-related issues.
Apply hardware and software tools and techniques to validate GPU features and interactions.
Develop post-silicon validation infrastructure, including performance monitors, behavioral checkers, and state space coverage tools.
Collaborate with architecture, design, verification, board, platform, and manufacturing teams to optimize validation methodologies and improve test strategies.
Review proposed design changes to assess their impact on validation plans and timelines.
Publish comprehensive GPU validation reports, summarizing activities, results, and findings, and communicate with relevant teams.
Test and validate interactions between GPU features using a robust validation infrastructure.