Company:Qualcomm Canada ULCJob Area:Interns Group, Interns Group > Interim Engineering Intern - SWQualcomm Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
General Summary:
Qualcomm’s Adreno GPU has been the industry leading mobile graphics solution in today’s Android smart phone market worldwide. Our power efficient GPU solution is fundamental to enable the new exciting markets like VR/AR, IoT, AI, drone, autonomous driving etc. GPU compiler is a key component of graphics solution. We are looking for a talented engineer to create world class GPU compiler products to enable high performance graphics and compute with low power consumption.
This internship position will be responsible for research, analysis and optimization of Qualcomm's Adreno GPU compiler. Based on the analyses and experiments on real world GPU applications, and investigation/prototyping of compiler optimizations, there will be opportunities to influence performance of games, applications, and hardware design, through interactions with graphics driver, architecture, and game development.
Ideal candidate will have:
Compiler knowledge, development, and optimization experience
Understanding of computer architecture (GPU, memory, data layout, etc.) and performance tradeoffs
Experience with C / C++ or scripting languages (e.g. Python)
Understanding of parallel computing on multi-core CPU, GPU, or heterogeneous systems
Good communication skills and teamwork spirit, reliable and self-motivated
Preferred Qualifications:
Graphics shader programming (OpenGL, Vulkan, DirectX, or others) or OpenCL/CUDA/SYCL kernel development
Experience with benchmarking and performance tuning for parallel applications
Experience with performance profiling and modeling for games, HPC, AR/VR, or AI applications
Experience with machine learning / deep learning tools (scikit learn, tensorflow, or others)
Educational Requirements:
In study towards a bachelors or masters degree in one of the following: electrical engineering, computer engineering, computer science or related field
For 4 month internships must be available May 2025 - August 2025
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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