GPU/AI Compiler Performance specialist - SR Staff

4 - 8 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

You will be responsible for research, analysis, and improvement of Qualcomm's Adreno GPU compiler and system performance for worldwide customers. Your tasks will include analyzing GPU shaders and bottlenecks, utilizing and developing tools/profilers, and investigating compiler architecture to enhance the performance of games, applications, and hardware design. Through interactions in compiler/driver, architecture, and games development, you will have the opportunity to influence performance positively. - 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 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, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR - PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. - 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. - 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. Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities during the application/hiring process. If needed, accommodations can be requested by emailing disability-accommodations@qualcomm.com or calling Qualcomm's toll-free number. Qualcomm expects its employees to adhere to all applicable policies and procedures, including security measures and confidentiality requirements. Please note that our Careers Site is for individuals seeking a job at Qualcomm, and staffing and recruiting agencies are not authorized to use this site. Unsolicited submissions such as profiles, applications, or resumes from agencies will not be accepted. For more information about this role, please reach out to Qualcomm Careers.,

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Qualcomm

Technology

San Diego

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