SoC GPU Architect

Lab Summary:

The Samsung Research America SOC Architecture Lab provides innovative SoC architecture, bus / memory subsystem, multimedia subsystems and key IP blocks for future Samsung Galaxy products (Smartphones, tablets and future devices). We are defining the high performance SoC architecture development for various Galaxy device lineups. This lab collaborates with Samsung’s strategic SoC partners, Samsung MX headquarter team, and key R&D teams around the globe to innovate and reinvent technology that will positively impact millions of people around the world via the Galaxy flagship products.

Position Summary:

We are looking for a GPU Architect for next generation SOCs. This is a highly visible hands-on role leading individual and team contributions to GPU sub-system architecture, interface, performance and power tradeoffs. Responsible for anywhere from early-stage architectural exploration, research work focusing on graphic and machine learning, defining new features, performance modeling, Hardware-Software co optimization.

Position Responsibilities:

• Propose innovative GPU Architectural and microarchitectural features to boost PPA (Performance, Power and Area) on various targeted workloads in next generation SOCs
• Identify and deliver GPU subsystem architecture proposals for products in new and existing markets
• Evaluate architecture proposal benefits in collaboration with team of SoC Architects and communicate the results across related engineering audiences (SW, HW, Architecture, Leadership)
• Perform high-level performance modeling/simulation and analysis of GPU features, applications, benchmarks, and complex uses cases
• Deliver architecture/microarchitecture proposals and specifications to the design team and articulate them effectively across audiences ranging from hardware & software engineers to architecture community peers, and to technology leadership
• Collaborate with silicon bring-up and product teams
• Collaborate across teams to bring architecture proposals to fruition across the SOC, Driver, OS, System through detailed documentations
• Analyzing benchmarks, application workloads, and performance simulation results for architecture and microarchitecture optimizations

Required Skills:

• Masters degree in Electrical, Computer Science, related Science or equivalent combination of education, training and experience
• 3+ years of relevant industry experience
• Strong background in GPU, or SIMD architectures
• Experience specifying Architecture and micro-architectures spec
• Implementing high-level functional and performance models
• Strong communication and collaboration skills, with experience working with cross-functional teams to drive technical solutions

Special Attributes:

• Deep expertise in GPU Architecture and micro architecture
• Experience with GPU APIs, OpenGL, OpenCL, Vulkan
• Proficiency in C/C++, SystemC
• Proficiency in scripting languages such as Python
• Relevant hands-on experience with developing bit accurate architectural functional and performance models
• Experience with hardware memory managements units, prefetching or memory subsystems
• Experience with Multi-core systems and memory coherency
• ML model optimization on GPU Architecture