GPU Validation Engineer defining and developing validation for cutting-edge GPUs at Intel. Collaborating with teams to ensure seamless media, display, and system-level performance across products.
Responsibilities
Join Intel's Discrete Graphics Platform System Engineering team and play a pivotal role in shaping the future of GPU technology.
Define, develop, and execute validation plans for GPUs, focusing on feature interaction, system-level testing, and functionality.
Apply hardware and software tools to optimize validation coverage, ensuring performance, power, and area goals are met.
Review proposed design changes to assess impacts on validation plans, tasks, and timelines.
Develop GPU validation methodologies and execute testing to support design optimization, troubleshooting, and failure analysis.
Perform silicon debug to identify root causes and resolve functional and triage failures for GPU issues.
Test interactions between GPU features using validation infrastructure and develop post-silicon validation tools, such as performance monitors and state-space coverage models.
Publish validation reports summarizing activities, results, and insights, communicating findings to relevant teams.
Collaborate with architecture, design, verification, board, platform, and manufacturing teams to enhance validation methodologies, strategies, and processes for graphics interfaces.
Requirements
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related STEM field.
2+ years of relevant work experience with:
Computer architecture or computer organization.
Lab equipment, such as power supplies, oscilloscopes, and multimeters.
Windows drivers, operating systems, and error logs, or Linux operating systems and Windows command line tools.
Experience with discrete graphics add-in cards or mobile discrete graphics systems (preferred).
Knowledge of PC x86 architecture, multimedia, memory, PCIe, display technologies, power management, and 3D graphics (preferred).
Familiarity with building PCs and computer hardware (preferred).
Programming skills in Python or similar languages (preferred).
Benefits
Accommodation for applicants and employees with disabilities
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