GPU Logic Design Engineer

Job Details: Job Description: The Role and Impact: As a GPU Logic Design Engineer, you will be instrumental in developing the next generation of graphics IPs, contributing directly to the design and optimization of register transfer level (RTL) coding for cutting-edge GPU blocks. Your day-to-day work will involve creating high-performance logic designs, ensuring they meet power, performance, area, and timing goals. The work you do will be integral to delivering innovative solutions for Intel's graphics products, directly impacting millions of users worldwide. Business Group: The Graphics IP team within Intel's Data Center Group (DCG) is dedicated to delivering world-class graphics and compute solutions for integrated, discrete, and data center AI products. Leveraging continuous innovation and engineering excellence, the team supports Intel's overall mission to drive technological advancements and deliver high-performance computing solutions. This role places you at the forefront of industry-leading graphics IP development efforts. Key Responsibilities: Develop logic designs and create RTL code for graphics IPs, including compute, display, and media blocks. Optimize logic designs to meet power, performance, area, and timing goals, ensuring design integrity for physical implementation. Participate in defining the architecture and microarchitecture features of GPU blocks. Review verification plans to ensure design features are accurately validated across hierarchies. Drive unit-level verification and resolve RTL test failures, implementing corrective measures to ensure design correctness. Collaborate with SoC teams to ensure high-quality integration of GPU blocks. Utilize industry-standard tools and methodologies for design and verification. Qualifications: Minimum Qualifications: Bachelor's degree or Masters in Computer Engineering, Computer Science, Electrical Engineering, or a related field. 4+ years M.Tech and 5+ B.tech with hands on experience in RTL coding, logic design, and verification processes for GPU or similar domains. Proficiency in Verilog/System Verilog and familiarity with hardware design flows and methodologies. Experience with synthesis, timing analysis, and structural design using tools such as Lint and CDC. Knowledge of computer architecture, microarchitecture, and static timing analysis. Proficiency in programming/scripting languages such as Python, Perl, or Shell scripting for automation. Preferred Qualifications: Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field. Strong analytical skills and experience in low-power design and power optimization techniques. Familiarity with ASIC design flow and industry-standard verification tools/methodologies. Exposure to ML/AI and HPC workload knowledge. Effective team player with strong communication skills and a continuous learning mindset.