Samsung Research America
SoC Architect, Media, Computer vision and Neural Engine
Samsung Research America, Mountain View, California, us, 94039
Lab Overview:
The Samsung SOC Lab creates high performance SoC architecture 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 SOC Architect to lead architecture of Media, Computer Vision and Neural engine in next generation SOCs. This is a highly visible hands-on role technical leadership role.
Position Responsibilities:
Guide on development of innovative Computer vision and Neural Engine Architectural and microarchitectural features to boost KPIs (Key Performance Indicators) on various targeted workloads in next generation SOCs
Innovate, create and deliver Media, Computer Vision and Neural Engine 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 Media, Computer Vision and Neural Engine features, applications, benchmarks, and complex uses cases
Create performance models and studies to support inclusion of these features in the next generation SoC architecture based on performance, area or power improvement
Collaborate with workload characterization to verify and debug the proposal and its delivered performance
Required Skills:
BSc, Masters or PhD in Computer Science/Engineering, or equivalent combination of education, training, and experience
10+ years of experience in SOC or ASIC RTL design
Prior direct experience (> 7 years) in hardware architecture or RTL design is required
High proficiency in architecture analysis and performance modeling, ranging from simple analytical models to complex cycle accurate performance model and correlation, especially around Computer vision and Neural Engine
Ability to leverage existing simulation capabilities [GEM5, FastSIM, VisualSim] or create new simulation capabilities when necessary
Detailed knowledge of ARM bus infrastructure (ACE/AXI/AHB), existing and emerging Media, Computer Vision and Neural Engine
Leadership across hardware, software, and platform groups to align all parties to a common vision
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The Samsung SOC Lab creates high performance SoC architecture 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 SOC Architect to lead architecture of Media, Computer Vision and Neural engine in next generation SOCs. This is a highly visible hands-on role technical leadership role.
Position Responsibilities:
Guide on development of innovative Computer vision and Neural Engine Architectural and microarchitectural features to boost KPIs (Key Performance Indicators) on various targeted workloads in next generation SOCs
Innovate, create and deliver Media, Computer Vision and Neural Engine 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 Media, Computer Vision and Neural Engine features, applications, benchmarks, and complex uses cases
Create performance models and studies to support inclusion of these features in the next generation SoC architecture based on performance, area or power improvement
Collaborate with workload characterization to verify and debug the proposal and its delivered performance
Required Skills:
BSc, Masters or PhD in Computer Science/Engineering, or equivalent combination of education, training, and experience
10+ years of experience in SOC or ASIC RTL design
Prior direct experience (> 7 years) in hardware architecture or RTL design is required
High proficiency in architecture analysis and performance modeling, ranging from simple analytical models to complex cycle accurate performance model and correlation, especially around Computer vision and Neural Engine
Ability to leverage existing simulation capabilities [GEM5, FastSIM, VisualSim] or create new simulation capabilities when necessary
Detailed knowledge of ARM bus infrastructure (ACE/AXI/AHB), existing and emerging Media, Computer Vision and Neural Engine
Leadership across hardware, software, and platform groups to align all parties to a common vision
#J-18808-Ljbffr