Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL) 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. As a Senior Staff GPU RTL Firmware Engineer, you will help shape the design and development of control firmware for Samsung’s next-generation mobile GPUs, shaping critical subsystems such as the Command Processor (CP) and RunList Controller (RLC) that orchestrate GPU execution, scheduling, and system control. In this high-impact individual contributor role, you will collaborate with hardware and software teams to shape how GPU workloads are scheduled, managed, and brought to life in silicon. You will partner closely with architecture, RTL, software, and validation teams to help influence hardware–firmware interfaces, contribute to execution-control strategy, and ensure scalable, production-ready GPU IPs across multiple product generations and market segments. Leveraging your expertise in GPU control firmware (including CP and RLC architectures), you will help shape the definition, implementation, and evolution of firmware that orchestrates GPU execution, scheduling, context management, and system-level control across multiple GPU IP generations. You excel at contributing to the firmware lifecycle, driving firmware architecture, bring-up, debug, and validation while influencing RTL design decisions to ensure clean interfaces, functionality, and scalability across use cases. You ensure technical excellence through analysis and optimization of GPU execution and scheduling behavior by identifying performance, latency, and utilization bottlenecks across command processing, runlist management, preemption, and context switching. You help influence next-generation GPU architectures, contributing to CP and RLC evolution through RISC-V–based firmware development, architectural exploration, and early enablement of new scheduling, reliability, and power-aware execution features. You proactively collaborate with architecture, RTL, and software teams to align execution efficiency with system-level goals. You inspire high performance by mentoring junior engineers, contributing to a culture of ownership and innovation, and staying ahead of emerging GPU technologies and RTL firmware technologies.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree