Performance Optimization Architect/Manager

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. Qualcomm has been at the forefront of driving the revolution in the mobile gaming space by providing state of the art powerful GPUs as part of the Snapdragon program. Snapdragon Elite Gaming delivers the full suite of desktop-level features, including volumetric rendering for hyper-realistic visuals. Qualcomm® Adreno™ GPU is the powerhouse engine behind high-performance graphics and rich user experiences with low power consumption. Our Adreno™ GPU is designed to quickly render complex geometries for next-level visuals in games and apps—with super-fast responsiveness and superior mobile connectivity for truly immersive experiences. As part of GPU performance and architecture team, the candidate will be working on the latest and greatest in GPU architecture and Computer Graphics. The role revolves around working on analyzing the most popular games and benchmarks which use highly advanced rendering techniques, evaluating their performance on Qualcomm GPUs, define new optimizations/algorithms/configurations for the Adreno GPUs and modeling them to define next generation of Adreno™ GPU   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.

Bachelor’s (BE/BTech) or Master’s (MS/MTech) degree in a relevant field; PhD is a plus, or equivalent experience. Knowledge of Graphics APIs e.g. OpenGL, Vulkan, DirectX, Metal A minimum of 12 years of experience in Computer Graphics or a related field with exposure to performance analysis and complex System-on-Chip (SoC) and/or GPU architectures. Profound understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture, and Network-on-Chip (NoC)/Interconnect architecture. Expertise in programming languages (C/C++) and scripting languages (Perl/Python). Exposure to Verilog/System Verilog, SystemC/TLM is highly advantageous. Strong debugging and analysis skills, including data and statistical analysis, and proficiency in using RTL dumps to debug failures. Hands-on experience in developing performance simulators and cycle accurate/approximate models for pre-silicon performance analysis is a significant advantage.   Keywords: 3D graphics; benchmark analysis; gpu; performance modeling; compute architecture, Complier, OpenGL, Vulkan, DirectX Minimum Qualifications: •    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems,