Senior Staff Engineer, Physical Design (Floorplanning

Senior Staff GPU Physical Design Engineer

Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world.

Come build with us!

As a Senior Staff GPU Physical Design Engineer, you will help shape the physical implementation and methodology innovation for high-performance GPU and system-level IP, enabling market-differentiating power, performance, and area (PPA) goals across Samsung's advanced technology nodes. Your work will impact implementation quality, silicon readiness, and scalable execution for next-generation GPU IPs.

In this senior individual contributor role, you will contribute to key stages of the physical design flow, with a particular focus on top-level floor planning (chip-level or large-IP planning) and power-grid implementation, while helping advance implementation strategies, methodology innovation, and scalable execution across parallel development cycles. You will collaborate closely with hardware, advanced design technology, and system-level teams to resolve complex implementation challenges and deliver robust, high-quality silicon for advanced-node designs.

• Leveraging your expertise in one or more technical areas, you help shape full-chip and block-level implementation, including top-level floor planning, placement, routing, timing closure, and signoff for complex GPU and SoC designs.
• You contribute to implementation strategies to achieve market-differentiating PPA targets, including power-grid design and implementation, power optimization, congestion management, STA-driven convergence, and reliability considerations across advanced-node designs.
• You help advance methodology and flow innovation, including automation, tool optimization, and scalable design practices, including developing or rewriting physical design flows, to improve implementation quality, productivity, and repeatability across projects.
• You collaborate cross functionally with architecture, RTL, advanced design technology, software, system-level teams, and external vendors, influencing top-level floor planning decisions and providing technical guidance to block implementers, to align design assumptions and resolve complex implementation challenges across advanced-node programs.
• You inspire high performance by mentoring junior engineers, fostering a culture of ownership, accountability and innovation, and promoting continuous learning by staying ahead of physical design innovation for emerging GPU technologies.

Skills and Qualifications

• 11+ years of experience with a Bachelor's Degree in Computer Science/Engineering, or 9+ years of experience with a Master's Degree, or 7+ years of experience with a Ph.D.
• 7+ years of hands-on experience with full physical design implementation flows, including synthesis, place-and-route, clock tree synthesis (CTS), timing closure, and signoff.
• Strong expertise in top-level floor planning for complex GPU or SoC designs, low-power design, physical verification (DRC/LVS), and advanced-node challenges.
• Hands-on power-grid design and implementation experience using PNR tools (Fusion Compiler, Innovus or equivalent)
• Proficiency in power-grid robustness analysis using (Red Hawk or equivalent)
• Experience with timing analysis and convergence methodologies, including STA, signal integrity, and reliability considerations
• Strong proficiency with industry-standard EDA tools (Synopsys or Cadence: ICC2/Fusion Compiler or Innovus, Prime Time/Tempus, StarRC)
• Strong proficiency with PNR/physical-design tools, commands, and toolflows.
• Strong scripting and automation skills in Python, Tcl, Shell, or Perl
• Strong analytical, debugging, and problem-solving skills with a data-driven approach for complex flow and design challenges
• Experience with leading technical initiatives, driving process and…