# GPU Validation Engineer at Intel

Intel is hiring a GPU Validation Engineer. It pays $122k-$232k a year and Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/96f326b1-3bac-483c-b7f1-21f4f08b5086?utm_medium=ai-agent).

AI Level 1, AI centrality 31 out of 100. US, California, Folsom.

## Details

- Company: [Intel](https://jobsbylevel.com/companies/intel)
- AI level: AI Level 1 (score 31 out of 100)
- Location: US, California, Folsom
- Salary: $122k-$232k
- Posted: October 16, 2026
- Apply: https://jobsbylevel.com/go/96f326b1-3bac-483c-b7f1-21f4f08b5086?utm_medium=ai-agent

## Description

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel The Role and Impact As a GPU Validation Engineer, you will play a pivotal role in ensuring the reliability and performance of Intel's industry-leading graphics processing units (GPUs). Your day-to-day responsibilities will involve defining and executing validation methodologies, debugging, and optimizing GPU features. By contributing to the development of cutting-edge validation infrastructure, you will help deliver products that meet rigorous performance, power, and quality standards. This position offers an exciting opportunity to innovate and make a tangible impact on Intel's graphics technology. Business group You will be part of Intel's Data Center Group (DCG), a team dedicated to delivering world-class GPU solutions for diverse applications such as gaming, AI, and high-performance computing. DCG focuses on driving innovation and supporting Intel's mission to shape the future of technology by creating advanced graphics architectures that power systems across desktop, mobile, server, and edge environments. Key Responsibilities - Define, develop, and execute validation methodologies for GPUs, focusing on interaction between media, display, and system-level features. - Build and test emulation and prototyping models for GPU. - Perform silicon debug to identify root causes and resolve functional and triage failures for GPU-related issues. - Develop and maintain post-silicon validation infrastructure, including performance monitors, behavioral checkers, and test environments. - Conduct validation testing to ensure performance, power, and area goals are met, leveraging hardware and software tools. - Review design changes to assess their impact on validation plans, timelines, and tasks. - Test interactions between GPU features using validation tools and infrastructure. - Collaborate with architecture, design, board, platform, and manufacturing teams to optimize validation methodologies. - Publish comprehensive GPU validation reports, summarize results, and communicate findings to relevant teams. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences. Minimum Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or related field with 4+ years of industry experience OR Master's degree in a relevant field with 3+ years of experience. 4+ years' experience in pre-silicon validation techniques, tools, and debugging. 4+ years' experience in C, C++, Python, and scripting for automation and validation tasks. 4+ years' experience in computer architecture and microarchitecture fundamentals. 4+ years' experience with emulation (preferably ZeBu/Palladium). Preferred Qualifications: Familiarity with PCIe standards and compliance processes. Knowledge of GPU architecture. Experience with FPGA prototyping, or acceleration platforms. Experience developing validation protocols and strategies. Experience with hardware debug tools such as logic analyzers, oscilloscopes, and in-circuit emulators. Exposure to Design for Debug (DFD) tools and methodologies. Familiarity with GPU artificial intelligence benchmarks, rendering concepts,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/gpu-validation-engineer-at-intel-c8a59b

Source: https://jobsbylevel.com/jobs/gpu-validation-engineer-at-intel-c8a59b

## Cite this page

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