Performance Optimization Architect/Manager
Core
Analyze performance bottlenecks in high-performance GPUs and SoCs, define optimizations for Adreno GPUs, and model next-generation GPU architectures.
Role type
Senior IC GPU Performance Architect
Builds
Next-generation Adreno GPU architectures and performance analysis infrastructure
Domain
Semiconductor / Computer Graphics / Mobile Gaming
Required skills
System-on-Chip (SoC) architecture, Graphics pipeline, Memory subsystem architecture, Network-on-Chip (NoC) architecture, Performance modeling, C/C++, Python, Verilog/System Verilog, OpenGL, Vulkan, DirectX, Hardware emulation, Statistical analysis
Preferred skills
PhD in relevant field, Experience with performance simulators, Cycle accurate models, SystemC/TLM
Technologies
Adreno GPU, Snapdragon, OpenGL, Vulkan, DirectX, Metal, RTL, Perl, Python, Verilog, System Verilog, SystemC, TLM
Responsibilities
Conduct system level performance analysis and bottleneck analysis for intricate, high-performance GPUs and System-on-Chips (SoCs). Utilize hardware models at various levels of abstraction, including performance models, RTL test benches, emulators, and silicon, to scrutinize and identify performance bottlenecks in the system. Comprehend key performance use-cases of the product and formulate workloads and test suits focusing on graphics, machine learning, automotive, video, and computer vision applications. Collaborate closely with architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption. Develop necessary infrastructure, including performance models, testbench components, and performance analysis and visualization tools. Lead efforts to enhance turnaround time, identify representative data-sets, and facilitate early performance analysis in the product development cycle.
