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Discrete Graphics Validation Engineer

Remote role Full-time Open position

The Role and Impact: Join Intel's Discrete Graphics Platform System Engineering team and play a pivotal role in shaping the future of GPU technology. As a GPU Validation Engineer, you will be at the forefront of innovation, defining, developing, and executing functional validation for Intel's cutting-edge GPUs. Your work will ensure that media, display, and system-level features interact seamlessly, driving performance, power efficiency, and reliability across our products. Collaborating with industry-leading teams, you will contribute to delivering competitive and groundbreaking graphics solutions, empowering immersive visual experiences for users worldwide. This is a unique opportunity to make a meaningful impact in a fast-evolving field, driving advancements that enhance everyday life. Key Responsibilities: - 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. Qualifications: Minimum Qualifications: - 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. Preferred Qualifications: - Experience with discrete graphics add-in cards or mobile discrete graphics systems. - Knowledge of PC x86 architecture, multimedia, memory, PCIe, display technologies, power management, and 3D graphics. - Familiarity with building PCs and computer hardware. - Programming skills in Python or similar languages. Job Type: Experienced Hire Shift: Shift 1 (Canada) Primary Location: Virtual Canada Additional Locations: Business group: At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners. Annual Salary Range for jobs which could be performed in Canada CAD 109,380.00-154,420.00 Salary range dependent on a number of factors including location and experience. Work Model for this Role This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted.

  • Job posting details (such as work model, location or time type) are subject to change.

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