GPU Compute Gaming Compiler Engineer - Sr Staff Manager

5 - 10 years

18 - 22 Lacs

Posted:2 months ago| Platform: Naukri logo

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Job Description


Job Area: Engineering Group, Engineering Group > Systems Engineering
General Summary:
Responsibilities:This position will be responsible for research, analysis and improvement of Qualcomm's Adreno GPU compiler and system performance to our world wide customers. From the 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 performance of games, applications, and hardware design, through interactions in compiler/driver, architecture and games development. Qualifications:
  • A BS/MS/PhD degree in Computer Science or Electrical Engineering.
  • 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
    Minimum Qualifications - Bachelor's or higher degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • 5+ years Systems Engineering or related work experience Preferred Qualifications: - Master's or higher degree in Computer Engineering or Computer Science.
  • 7+ years Systems Engineering or related work experience
    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. Additional Plus:
  • 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.
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    Qualcomm

    Technology

    San Diego

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