# GPU Validation Engineer at Intel

Intel is hiring a GPU Validation Engineer in Toronto, Canada. Level rates it Little AI ●○○○; you can [apply on Intel](https://jobsbylevel.com/go/c79485c9-6106-4683-88fb-2a0099cd214e?utm_medium=ai-agent).

AI Level 1, AI centrality 30 out of 100. Canada, Toronto.

## Details

- Company: [Intel](https://jobsbylevel.com/companies/intel)
- AI level: AI Level 1 (score 30 out of 100)
- Location: Canada, Toronto
- Posted: November 5, 2026
- Apply: https://jobsbylevel.com/go/c79485c9-6106-4683-88fb-2a0099cd214e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=gpu-validation-engineer-at-intel-e14efc

## Description

Job Details: Job Description: Join a leading technology company at the forefront of innovation in graphics processing and semiconductor technology. We are committed to pushing the boundaries of what’s possible in the world of computing, delivering cutting-edge solutions that power the future of digital experiences. Our team is composed of talented professionals who are passionate about technology and dedicated to excellence. We are seeking a skilled and experienced GPU Validation Engineer to join our dynamic team. This role requires regular onsite presence to effectively collaborate with cross-functional teams and fulfill essential job responsibilities. As a GPU Validation Engineer, you will define, develop, and perform functional validation for Graphics Processing Units (GPUs), focusing on the interaction of GPUs with media, display, and system-level features. You will apply various hardware and software tools and techniques to ensure comprehensive validation coverage and achieve performance, power, and area goals. Key Responsibilities Define, develop, and execute functional validation plans for GPUs, focusing on Design for Debug, Fabric, media, display, and system-level features. Apply hardware and software tools to ensure validation coverage and meet performance, power, and area objectives. Review proposed design changes to assess their impact on validation plans, tasks, and timelines. Develop GPU validation methodologies and collaborate with engineers for 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 various GPU features using validation infrastructure. Develop post-silicon validation infrastructure, including performance monitors, behavioral checkers, and state space coverage. Publish GPU validation reports summarizing all validation activities, review results, and communicate findings to relevant teams. Proactive approach to identifying potential challenges and developing solutions. Strong organizational skills to manage multiple validation tasks and timelines efficiently. Reviews proposed design changes to assess impact on validation plans, tasks, and timelines. Develops GPU validation methodologies, executes validation plans, and collaborates with other engineers for design optimization, troubleshooting, and failure analysis. Performs silicon debug to identify root causes and resolves all functional and triage failures for GPU issues. Tests interactions between various GPU features using validation infrastructure. Develops post silicon validation infrastructure (e.g., performance monitors, behavioral checkers, state space coverage) and test environment used in validation testing. Publishes GPU validation reports summarizing all validation activities performed, reviews results, and communicates to relevant teams. Works with architecture, design, verification, board, platform, and manufacturing teams to maintain and improve debug, validation test strategy, methodologies, and processes for graphics interfaces and to meet desired product specifications. Work with architecture, design, verification, board, platform, and manufacturing teams to maintain and improve debug, validation test strategies, methodologies, and processes for graphics interfaces. The ideal candidate should show the following behavioral traits Strong analytical and problem-solving skills to effectively troubleshoot and resolve complex GPU issues. Excellent communication skills to clearly convey validation findings and collaborate with cross-functional teams. Skills to work collaboratively in a team environment, fostering a culture of innovation and continuous improvement. Strong attention to detail to ensure thorough validation coverage and accurate reporting. Adaptability and flexibility to manage changing priorities and work effectively under pressure. If you are passionate about cutting-edge GPU technology

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Source: https://jobsbylevel.com/jobs/gpu-validation-engineer-at-intel-e14efc

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