GPU Design Verification Engineer

t As a GPU Design Verification Engineer, you will play a critical role in the development of next -generation graphics components, ensuring the robustness and reliability of our solutions. Collaborating with architecture, design, verification and performance teams, you will contribute to shaping cutting-edge GPU products.

Key Responsibilities

• Work closely with architects, designers to develop scalable and reusable IP verification plans, test benches, and architectures for graphics components.
• Execute verification plans by running simulation models, analyzing performance, power, timing, and identifying bugs.
• Debug issues in pre-silicon environments, root cause failures, and implement corrective measures.
• Collaborate with GPU architects, RTL developers, and physical design teams to enhance verification methodologies and meet functional, performance, and power goals.
• Write specifications for design changes and code RTL adhering to industry standards and team guidelines.
• Develop and execute functional/code coverage goals, ensuring high-quality design standards.
• Interface across teams to align validation efforts.
• Contribute to process improvements and gain domain expertise for independent validation execution.

:

• A Bachelor's degree in Electrical/Computer Engineering, Computer Science, or a related STEM field with 3+ years of relevant experience, or a Master's degree with 2+ years of experience, or a PhD with no prior professional experience.
• Proficiency in System Verilog and UVM methodologies.
• Experience in testbench development, feature verification, coverage execution, and assertion-based verification.
• Strong knowledge of Python or similar scripting languages.
• Expertise in RTL design and debugging using industry-standard tools and methodologies.

Preferred Qualifications:

• Familiarity with GPU or CPU architectures and computer architecture fundamentals.
• Debug experience with frontend design and verification tools, flows, and methodologies.
• Hands-on experience with programming languages such as C, C++, or object-oriented programming.
• Working knowledge of scripting languages like Perl, Ruby, or Python.
• Effective problem-solving, debugging, and communication skills.

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.