Senior GPU Physical Design Engineer

Intel Corporation•Santa Clara, CA

1d•$164,470 - $232,190•Hybrid

About The Position

The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful. The Role and Impact: As a GPU Physical Design Engineer, you will play a critical role in the physical implementation of cutting-edge GPU designs from RTL to GDS, ensuring optimal performance, power, and area. You will be responsible for executing key aspects of the physical design flow, including synthesis, place and route, timing analysis, and verification, driving the success of Intel's next-generation graphics products. Business group: You will join Intel's Data Center Group (DCG), a team dedicated to creating innovative technologies for data center and enterprise solutions. DCG focuses on delivering high-performance computing systems, enabling Intel's mission to advance data-driven insights and empower businesses worldwide. The primary responsibilities for this role will include, but are not limited to:

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field with 6+ years of relevant experience, or Master's degree with 4+ years of experience, or PhD with 2+ years of experience.
Experience with ASIC design flows such as floorplanning, synthesis, place and route, and layout verification.
Advanced experience in industry-standard tools such as Fusion Compiler, Genus/Innovus, ICC-DP, PrimeTime, StarRC, and Formality.
Advanced scripting skills in Tcl, Python, or similar languages for flow automation and optimization.
Experience with GPU physical design challenges, including SoC integration and timing closure.
Background in optimizing power, performance, and area for designs on advanced process nodes.
Familiarity with Unix/Linux-based environments and methodologies for tool and flow development.

Responsibilities

Perform physical design implementation of GPU designs, including synthesis, placement, routing, and clock tree synthesis.
Conduct verification and signoff tasks, such as static timing analysis, layout verification, and formal equivalence checking.
Analyze results and collaborate with cross-functional teams to optimize design for power, frequency, and area.
Develop and improve physical design methodologies and flow automation for continuous innovation in GPU physical design.
Address GPU development challenges by defining product requirements and implementing tailored methodologies for advanced process nodes.