Principal Engineer, GPU Architect & Modeling

Samsung•San Jose, CA

1d•Onsite

About The Position

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 Principal of GPU Architect & Modeling, you will lead teams to define the architectural vision, modeling strategy, and performance roadmap for Samsung’s next-generation mobile GPUs—powering cutting-edge graphics, compute, and AI capabilities for millions of premium mobile devices worldwide. In this high-impact and highly visible role, you will shape the long-term GPU architecture direction across performance, memory systems, PPA, system modeling, roadmap design, AI/ML acceleration, ray tracing, and shader and texture. You will guide cross-functional teams in transforming research concepts into silicon-proven capabilities, driving innovation in architectural design, modeling methodologies, and workload optimization that deliver world-class graphics performance and power efficiency, scalable across Samsung’s premium consumer device markets. You shape the long-term GPU architecture vision and technology development roadmap, setting technical direction across memory system, performance analysis, and PPA optimization to enable scalable, power-efficient designs for current and next-generation workloads. You spearhead design excellence by leading architecture and modeling teams to build advanced modeling frameworks and performance methodologies that guide architectural exploration, data-driven design decisions, and accurate silicon correlation. You drive innovation across shader, texture, and ray tracing features, and AI/ML acceleration features, influencing architectural strategies, feature definitions, and trade-offs that enhance graphics realism and deliver efficient compute capabilities for emerging use cases. You champion cross-functional collaboration among hardware, software, design, and system teams—aligning technical roadmap, integrating architecture, and optimizing system-level performance excellence, while articulating complex architectural trade-offs and strategic direction to gain consensus with executives and engineering peers. You empower a culture of innovation by mentoring leaders, exemplifying ownership, encouraging open communications and data-driven decisions, inspiring bold ideas and calculated risk taking that redefine industry standards.

Requirements

16+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 14+ years of experience with a Master’s Degree, or 12+ years of experience with a Ph.D.
12+ years of experience in GPU or graphics architecture.
Deep expertise across multiple domains such as GPU performance analysis, memory system design, shader/texture architecture, and ray tracing.
Proven success defining and driving GPU architecture strategies that balance performance, power, and area (PPA) tradeoffs.
Deep expertise in GPU modeling methodologies—including performance simulation, microarchitectural analysis, and correlation to silicon.
Demonstrated technical leadership in driving new GPU feature development (e.g., AI/ML acceleration, ray tracing, or advanced rendering pipelines).
Strong knowledge of GPU programming models and workloads (graphics, compute, and AI inference) to translate workload characteristics into architectural innovation.
Demonstrated ability to build and grow cross-functional engineering teams while influencing technical roadmaps and business strategy.
Excellent communication and collaboration skills; ability to engage with executives, internal and external industry partners, and technical peers, and guide diverse teams through ambiguity.
Ability to access information subject to U.S. export control restrictions or be eligible to receive a government authorization to access export-controlled information.

Responsibilities

Define the architectural vision, modeling strategy, and performance roadmap for Samsung’s next-generation mobile GPUs.
Shape the long-term GPU architecture direction across performance, memory systems, PPA, system modeling, roadmap design, AI/ML acceleration, ray tracing, and shader and texture.
Guide cross-functional teams in transforming research concepts into silicon-proven capabilities.
Drive innovation in architectural design, modeling methodologies, and workload optimization.
Set technical direction across memory system, performance analysis, and PPA optimization.
Lead architecture and modeling teams to build advanced modeling frameworks and performance methodologies.
Guide architectural exploration, data-driven design decisions, and accurate silicon correlation.
Drive innovation across shader, texture, and ray tracing features, and AI/ML acceleration features.
Influence architectural strategies, feature definitions, and trade-offs.
Champion cross-functional collaboration among hardware, software, design, and system teams.
Align technical roadmap, integrate architecture, and optimize system-level performance excellence.
Articulate complex architectural trade-offs and strategic direction to gain consensus with executives and engineering peers.
Mentor leaders, exemplify ownership, encourage open communications and data-driven decisions, inspire bold ideas and calculated risk taking.