The Role and Impact
Are you passionate about cutting-edge computer graphics and excited to contribute to the technology that powers millions of devices worldwide? Join Intel's Graphics IP team as a GPU Design Verification Engineer, where you will play a pivotal role in ensuring the functional accuracy and performance of Intel's leading-edge GPU architectures. This position provides an opportunity to collaborate with a world-class team of architects, designers, and engineers to deliver next-generation graphics solutions. Your work will directly impact Intel's mission to redefine how the world experiences technology, driving innovation across integrated, discrete, and AI-enabled graphics platforms.
Key Responsibilities
Develop scalable and reusable IP verification plans, test benches, and architectures for graphics logic components, including 3D graphics, media, and display.
Execute verification plans and run system simulation models to validate design, analyze power and timing, and identify bugs.
Debug and resolve failing tests in the pre-silicon environment, root cause issues, and implement corrective measures.
Collaborate with architects, RTL developers, and physical design teams to enhance verification methodologies and meet functional, performance, and power goals.
Write specifications for design enhancements and code design changes in RTL while adhering to coding guidelines.
Analyze timing reports to optimize design approaches for frequency requirements.
Develop functional/code coverage goals and ensure coverage closure to maintain high-quality design standards.
Interface with emulation and software teams to align RTL validation efforts.
Contribute to process improvements and gain domain expertise for independent validation execution.
Minimum Qualifications
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 in related field.
Experience in System Verilog and UVM methodologies.
Experience in testbench development, feature verification, coverage execution, and assertion-based verification.
Experience Python or similar scripting languages.
Expertise in RTL design and debugging using industry-standard tools and methodologies.
Preferred Qualifications
Experience GPU or CPU architecture, including computer architecture fundamentals.
Debug experience in frontend design and verification flows, tools, and methodologies.
Prior exposure to IP development teams and verification strategies.
Familiarity with programming languages such as C, C++, and object-oriented programming.
Working knowledge of scripting languages like Perl, Ruby, or Python.
Effective problem-solving, debugging, and communication skills.
Be a part of Intel's journey to engineer the future and deliver innovations that shape the world. Apply now to drive meaningful technology advancements with us.
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $105,650.00-200,340.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence. * 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.If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Experienced RF engineer needed to lead RF system design and validation for Starshield’s national-security satellite communications and remote sensing programs at SpaceX.
At Invenergy, this Staff Engineer role focuses on managing conceptual transmission designs and coordinating engineering efforts for HVDC, EHV, and interconnection projects to expand renewable energy reach and grid reliability.
Revise Robotics is hiring a hands-on Engineering Intern to tackle robotics, firmware, vision, and hardware-software integration challenges in our Dumbo lab, matched to your deepest practical strength.
Relativity Space is hiring an Instrumentation and Controls Engineer II to design, integrate, and test instrumentation, PLC-based control systems, and camera/DAQ solutions for Terran R test stands at Stennis Space Center.
Join Hinge Health's Hardware Engineering team to drive mechanical design and prototyping of integrated medical devices from early concept to mass production in a hybrid San Francisco role.
Lead AIM’s hardware engineering organization to design and deliver ruggedized electrical and mechanical systems that enable autonomous heavy machinery in real-world environments.
Lead and grow a cross-functional electrical design engineering team at Moog's Space Sector to deliver avionics and space-grade electronic systems for NASA, defense, and commercial customers.
Lead the design, analysis, and testing of Terran R flight mechanisms, leveraging additive manufacturing and cross-functional collaboration to deliver robust hardware on schedule and budget.
Lead and scale Decagon’s AI & Data Infrastructure team to deliver low-latency inference, high-throughput data pipelines, and strong operational standards for enterprise-grade conversational AI.
Be part of Starlink’s Hardware Reliability team, developing and executing reliability test strategies and data-driven solutions to maximize product life and manufacturing quality.
Lead the design and validation of a novel ocean-based thermal power architecture to make a new class of floating data centers economically viable.
Lead the design, analysis, and testing of Terran R flight mechanisms—stage separation, payload deployment, landing gear and aero actuators—working hands-on in a fast-paced additive manufacturing environment.
Lead the design and implementation of Quartermaster AI's RF-to-insight DSP pipeline, building edge-capable algorithms that turn raw IQ into actionable maritime awareness.