GPU Performance Engineer

Qualcomm • San Diego, CA

2d

About The Position

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™ GPU is the powerhouse engine behind high-performance graphics and rich user experiences with low power consumption. Our Adreno™ 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™ GPU

Requirements

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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees