GPU Performance Optimization Specialist

20 hours ago

Cork, Cork, Ireland beBeePerformance Full time €80,000 - €140,000
GPU Performance Verification Engineer Role

The role of a GPU Performance Verification Engineer is pivotal in ensuring that our GPUs deliver industry-leading performance across gaming, compute, and AI workloads while maintaining power efficiency and architectural scalability.

Why This Role Matters:

The Adreno GPU is a cornerstone of Qualcomm's graphics innovation. With the launch of Snapdragon X Elite, Adreno entered the high-performance compute space, delivering up to 4.6 TFLOPS of GPU compute and supporting real-time ray tracing, 240 FPS mobile gaming, and AI-powered graphics enhancements.

Key Responsibilities:

This role centers on verifying the performance of Adreno GPUs powering flagship Snapdragon platforms. Key responsibilities include:

  • Identifying and resolving architectural bottlenecks in GPU pipelines
  • Collaborating closely with GPU Design and Architecture teams to understand graphics concepts, performance trade-offs, and propose optimizations
  • Evaluating and optimizing advanced GPU features such as ray tracing, context switching, and AI acceleration to ensure peak performance and efficiency
  • Driving performance closure using trending graphics, compute, and AI benchmarks and real-world scenarios
  • Extracting insights from large-scale simulation and emulation datasets using Python-based data analytics
  • Collaborating across hardware and software teams to optimize power, performance, and area (PPA)
  • Ensuring compatibility and performance of AAA games across current and next-gen gaming systems
Requirements:

To excel in this role, you'll need a strong foundation in System Verilog/UVM and experience with UVM-based verification environments. Proficiency in any of the simulation or emulation platforms for design exploration and debug is also desirable. Additionally, a solid understanding of Computer/GPU architecture, memory subsystem, and pipeline analysis is essential.

Desirable Qualifications:

Experience in CPU/GPU/NPU domains, familiarity with simulation acceleration and emulation platforms, and expertise in data visualization and analytics using Python are all valuable assets in this role.

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