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About the role
- 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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