GPU Validation Engineer

Overview

Intel is hiring a GPU Validation Engineer in its Data Center Group (DCG) to ensure the functional accuracy, performance, and reliability of Intel's GPUs, covering interactions across GPU, media, display and system-level features.

What you'll do

• Develop and execute functional validation plans for GPUs, ensuring comprehensive test coverage across hardware and software components.
• Analyze and debug silicon issues to identify root causes, resolve failures, and optimize GPU designs.
• Test and validate system-level interactions between GPU features using advanced validation infrastructure.
• Collaborate with architecture, design, verification, and manufacturing teams to refine validation methodologies and processes.
• Review proposed design changes to assess their impact on validation timelines, tasks, and performance goals.
• Design and implement post-silicon validation infrastructure, including behavioral checkers, performance monitors, and coverage tools.
• Publish detailed validation reports summarizing key findings, results, and recommendations.
• Maintain and improve validation strategies to support product specifications and enhance overall GPU functionality.
• Apply hardware and software level tools and techniques to ensure validation coverage and that performance, power, and area goals are met.
• Perform silicon debug to identify root causes and resolve all functional and triage failures for GPU issues.
• Develop post-silicon validation infrastructure (e.g., performance monitors, behavioral checkers, state space coverage) and test environments used in validation testing.
• Work with architecture, design, verification, board, platform, and manufacturing teams to maintain and improve debug, validation test strategy, methodologies, and processes for graphics interfaces.

What you'll need

• Bachelor's degree in a relevant field and 9+ years of experience in GPU validation, silicon debugging, or related domains, or a Master's degree with 6+ years, or a Ph.D. with 4+ years.
• Proficiency in validation tools and techniques, including hardware validation infrastructure and software-based testing methodologies.
• Experience with silicon debug processes, triage failure analysis, and system-level validation.
• Strong technical expertise in GPU architecture, media, and display technologies.
• Demonstrated ability to develop and execute validation plans aligned with design and performance goals.

Nice to have

• Proven experience collaborating with cross-functional engineering teams to drive design optimizations and resolve technical challenges.
• Strong analytical and problem-solving skills, with a focus on continuous improvement in validation processes.
• Effective communication skills to present findings and recommendations through clear and concise reports.
• Passion for innovation and a proactive mindset to contribute to advancements in GPU technologies.
• Proven experience in platform validation, low power flow management, memory expertise and (GDDR/LPDDR) debugging, and test content development, with a focus on reset/boot/low power functionalities.
• Strong understanding of server architectures, hardware components, and operating systems.
• Proficiency in scripting languages (e.g., Python) for test automation, debugging, and test content development.
• Experience with validation, debugging, and test content development tools and frameworks (e.g., Jenkins, GDB, WinDbg).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• Familiarity with version control systems (e.g., Git) and issue tracking tools (e.g., JIRA).
• Knowledge of industry standards and best practices related to server reset, platform validation, debugging, and test content development.

Details

• Location: Bangalore, India.
• Work model: On-site.
• Shift: Shift 1 (India).
• Job type: Experienced hire.