GPU Logic Design Engineer

Job Description: The Role and Impact : As a GPU Logic Design Engineer, you will play a pivotal role in developing and optimizing the RTL design for cutting-edge graphics IPs, including compute, display, and media components. On a day-to-day basis, you will create logic designs, write RTL code, and conduct simulations to ensure high-quality integration of GPU blocks within full chip designs. By contributing to architecture definition and microarchitecture features, your work will directly impact Intel's ability to deliver state-of-the-art performance in graphics hardware. The candidate will also be responsible for Verifying the designs on their own or with other team members, including, test plan, TB changes, test content, debug, coverage etc. Business Group: The role is part of Intel's Data Center Group (DCG), which focuses on advancing high-performance computing solutions that power data centers around the world. This group develops innovative GPU hardware designs that enable Intel's leadership in graphics and compute technologies, supporting scalable solutions for data-intensive workloads. DCG drives the creation of solutions that amplify Intel's broader mission of powering a data-driven future. Key

RESPONSIBILITIES

• Develop logic design, RTL coding, and simulation for GPU IPs, including graphics and media components.
• Collaborate on defining architecture and microarchitecture features of the designed blocks.
• Optimize logic for power, performance, area, and timing to meet design goals.
• Review and implement verification plans to ensure correctness across validation hierarchies.
• Resolve and implement corrective measures for RTL tests to guarantee feature integrity.
• Support So C customers for seamless GPU block integration in chip designs.

QUALIFICATIONS

MINIMUM

QUALIFICATIONS

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
• 6+ years of hands-on experience in IP RTL design, with demonstrated skills in microarchitecture and system verification using Verilog/System Verilog.
• Proficiency in logic design optimization, timing analysis, and validation workflows.
• Experience in scripting languages such as Python or Perl for automation purposes.
• Knowledge of computer architecture and basic digital electronics principles.

PREFERRED

QUALIFICATIONS

• Master's degree in a relevant field with 6+ years of industry experience or Ph D with no prior professional experience.
• Familiarity with UVM concepts and developing testbenches, monitors, and scoreboards.
• Strong problem-solving skills and debugging capabilities for complex design challenges.
• Effective collaboration and communication skills to work in cross-functional teams.

Take the next step in advancing the future of GPU hardware innovation-