Job Description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > GPU ASICS Engineering

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 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

• 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 Requirements

• 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 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)
  
  

Minimum Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ 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 1+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Qualcomm is committed to hiring and supporting individuals with disabilities. Although this role has some expected physical activity, an inability to perform one or more of the listed physical requirements should not deter otherwise qualified applicants from applying. We will work with you throughout the application and onboarding process to provide reasonable accommodations. Examples of expected physical activity include: frequently transporting between offices, buildings, and campuses up to ½ mile; frequently transporting and installing equipment up to 5 lbs.; performing tasks at various heights (e.g., standing or sitting); monitoring and utilizing computers and test equipment for more than 6 hours a day; and continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.

Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, 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. Qualcomm is an equal opportunity employer and supports workforce diversity.

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

If you would like more information about this role, please contact Qualcomm Careers.