GPU Compute Gaming Compiler Engineer

Qualcomm Innovation Center, Inc.

Bengaluru, Karnataka, India2+ yrs5d agovia LinkedIn

About the Role

This position will be responsible for research, analysis, and improvement of Qualcomm's Adreno GPU compiler and system performance for our worldwide customers. Through analyses and experiments on GPU shaders and bottlenecks, usage and development of tools/profilers, and investigation of compiler architecture, there will be opportunities to influence the performance of games, applications, and hardware design, through interactions in compiler/driver, architecture, and games development.

Key Responsibilities

  • Research, analysis, and improvement of Adreno GPU compiler and system performance.
  • Analyze GPU shaders and bottlenecks.
  • Develop and utilize tools/profilers.
  • Investigate compiler architecture.

Requirements & Tech Stack

  • LLVM Compiler knowledge, development, and optimization experience.
  • Understanding of GPU and computer architecture (CPU, memory, data layout, etc.) and performance tradeoffs.
  • Experience with C/C++ and Python.
  • Good communication skills and teamwork spirit, reliable and self-motivated.
  • Graphics shader programming (OpenGL, Vulkan, DirectX, or others) or OpenCL/CUDA kernel development.
  • Experience/understanding of profiling/debugging tools and hardware performance counters for parallel applications.
  • Experience with benchmarking and performance tuning for parallel applications, games, HPC, AR/VR, or AI applications.

Qualifications

  • A BS/MS/PhD degree in Computer Science or Electrical Engineering.
  • Minimum Qualifications:
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
  • OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
  • OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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