Job Description

Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > GPU ASICS Engineering

Job 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

The largest provider of mobile SoC (system on chip) solutions. Adreno GPU has been the industry leading mobile graphics solution and has been the dominating GPU in todays smart phone market. 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.

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.

Minimum Qualifications

Basic compiler knowledge
Understanding of computer architecture (CPU, 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 kernel development
Development of system-level performance tool
Compiler development experience (proprietary or open source)
Experience / understanding of profiling / debugging tools and hardware performance counters for parallel applications
Extensive experience in high-performance (parallel) computing
Extensive experience with benchmarking and performance tuning for parallel applications
Required: Bachelor's degree in Computer Science, Electrical Engineering, Information Systems, or related field.
Preferred: Master's degree or PhD in Computer Science, Electrical Engineering, Information Systems, or related field.

The largest provider of mobile SoC (system on chip) solutions. Adreno GPU has been the industry leading mobile graphics solution and has been the dominating GPU in todays smart phone market. 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.

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.

Minimum Qualifications

• Basic compiler knowledge
• Understanding of computer architecture (CPU, 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 kernel development
• Development of system-level performance tool
• Compiler development experience (proprietary or open source)
• Experience / understanding of profiling / debugging tools and hardware performance counters for parallel applications
• Extensive experience in high-performance (parallel) computing
• Extensive experience with benchmarking and performance tuning for parallel applications
  
  
  

Education

Minimum Qualifications

Certifications

Work Experiences:

Skills

Preferred Qualifications

Skills

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.

To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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 .