Job Description

Company: Qualcomm India Private Limited

Job Area: Engineering Group, Engineering Group
Systems Engineering

Qualcomm 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 has been at the forefront of driving the revolution in the mobile gaming space by providing state of the art powerful GPUs as part of the Snapdragon program. Snapdragon Elite Gaming delivers the full suite of desktop-level features, including volumetric rendering for hyper-realistic visuals. Qualcomm Adreno(TM) GPU is the powerhouse engine behind high-performance graphics and rich user experiences with low power consumption. Our Adreno(TM) GPU is designed to quickly render complex geometries for next-level visuals in games and apps--with super-fast responsiveness and superior mobile connectivity for truly immersive experiences. As part of GPU performance and architecture team, the candidate will be working on the latest and greatest in GPU architecture and Computer Graphics. The role revolves around working on analyzing the most popular games and benchmarks which use highly advanced rendering techniques, evaluating their performance on Qualcomm GPUs, define new optimizations/algorithms/configurations for the Adreno GPUs and modeling them to define next generation of Adreno(TM) GPU

Key Deliverables

• Contribute to conversations to generate new ideas for next generation GPU architecture improvements.
• Develop and maintain GPU performance model, defining and performing experiments to study architectural features
• Conduct in-depth analysis of graphics benchmark performance to identify issues or areas for improvement.
• Conduct config studies and define high-quality GPU system based on requirements, optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule meet needs, benchmarks, and industry standards, even when faced with ambiguous information
• Demonstrates good understanding of and conducts research on industry trends and innovations in graphics to ensure solutions and deliverables align with best practices.
• Works across teams to align on important areas of feature development and ensure targets are met

Responsibilities

• Working independently with little supervision.
• Provide some supervision/guidance to others.
• Having a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to provide input on key decisions).
• Use deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem
• Must have excellent verbal and written communication skills to convey information to various stakeholders some of whom may have limited knowledge of the subject in question

Requirements

• Proficient in one of the languages: C++, System C, Python
• Expertise in Computer Architecture
• Knowledge of Graphics/Compute APIs like OpenGL and/or DirectX, OpenCL and/or CUDA, Vulkan

Keywords : 3D graphics; benchmark analysis; gpu; performance modeling; compute architecture

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.

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

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