Job Title : Performance/Architecture Modeling engineer

Experience Required : 2 to 15 years

Job Location: Bangalore

Job Area:

Engineering Group, Engineering Group > Systems EngineeringQualcomm 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 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.

Qualcomm CDMA Technologies (QCT) is a global leader in Multimedia integrated circuits (ICs), software and systems for wireless consumer devices including Smartphones, Netbooks and E-readers. Our teams are developing advanced technologies to enhance mobile devices in areas including 2D and 3D graphics, audio/video, display and architecture. These Multimedia ASICS are co-designed with our Modems, Applications Processors, Analog Codecs and Power Management ICs to deliver highly-integrated, high-performance and low-cost chipsets to our customers and partners. You will be developing the industry's leading edge graphics processor, specific areas include 2D and 3D graphics, streaming processor, high speed IO interface and bus protocols.

Roles & Responsibilities

• Designing and simulating new graphics algorithms on GPU performance model
• Collaboration with SW team and HW team to test and validate the new architecture proposals, alternative design options in terms of performance efficiency and functional correctness
• GPU workload, bottleneck and performance analysis
• Correlating performance between model and RTL to improve model accuracy.
• Performance analysis flow automation.

Required

• Programming experience in either: C++, C#, Python
• Computer architecture knowledge/experience: pipelines, caches, latency, throughput
• Graphics Programming experience: OpenGL and/or DirectX, OpenCL and/or CUDA, Vulkan

Keywords : gpu; performance modeling; compute architecture

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport 

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