Staff GPU Compiler Engineer

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > GPU ASICS Engineering

General Summary:

Hiring in multiple location - Markham, Canada AND San Diego, Santa Clara in US

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 talented engineers to create world class GPU compiler products to enable high performance graphics and compute with low power consumption.

This position will be responsible for research, analysis and improvement of Qualcomm's Adreno GPU compiler and system performance to our worldwide customers. 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. 

Responsibilities for GPU compiler performance engineer:

• Profile and characterize trending GPU benchmarks and applications (games, HPC, AR/VR and AI)

• Use/develop tools to identify performance bottlenecks and study optimization heuristics

• Propose/prototype improvements in compilers and GPU architecture to tackle identified bottlenecks

• Provide programming guide to help developers get better performance on Qualcomm GPUs

Ideal candidate will have :

• Broad compiler knowledge, development, and optimization experience

• Deep understanding of computer architecture (GPU, memory, data layout, etc.) and performance tradeoffs

• Understanding of parallel computing on multi-core CPU, GPU, or heterogeneous systems

• Extensive experience with benchmarking and performance analysis and tuning for parallel applications

• Good communication skills and teamwork spirit, reliable and self-motivated

Preferred Requirement:

• Graphics shader programming (OpenGL, Vulkan, DirectX, or others) or OpenCL/CUDA/SYCL kernel development

• 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)

Minimum Qualifications:

•    Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

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 disability-accomodations@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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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