This is a role focused on optimizing and ensuring the high-performance efficiency of graphics processing units (GPUs). We are seeking an expert in GPU performance verification to join our team.
Key Responsibilities:
* Identifying Architectural Bottlenecks: Analyze and resolve limitations within GPU pipelines to improve overall performance.
* Collaboration with Design Teams: Work closely with GPU design architects to understand graphics concepts, propose optimizations, and ensure seamless integration of advanced features.
* Evaluating Advanced Features: Assess and optimize features like ray tracing, context switching, and AI acceleration to guarantee peak performance and efficiency.
The Adreno GPU plays a crucial role in Qualcomm's innovation strategy. With the introduction of Snapdragon X Elite, Adreno entered the high-performance compute space, delivering 4.6 TFLOPS of GPU compute power and supporting real-time ray tracing, mobile gaming, and AI-enhanced graphics.
Achieving Excellence in AI Leadership
* Adreno GPUs are tightly integrated with Qualcomm's AI Engine, enabling real-time AI use cases across vision, language, and audio.
What This Role Involves:
* Data Analytics: Utilize Python-based data analytics to extract valuable insights from large-scale simulation and emulation datasets.
* Interdisciplinary Collaboration: Partner with hardware and software teams to optimize power, performance, and area (PPA).
* Game Compatibility: Ensure the compatibility and performance of AAA games across current and next-gen gaming systems.