GPU Performance Engineer

Qualcomm • San Diego, CA

2d

About The Position

Our mission is to ship the very best integrated GPUs in the world, putting Qualcomm in a position of graphics and compute leadership, in all its businesses. We are looking for passionate GPU performance modeling engineers that will help shape the architecture of future Adreno GPUs for Qualcomm Snapdragon compute platforms across smartphones, Windows PCs and Chromebooks, virtual reality and augmented reality devices, and automotive solutions.
This role will be available across multiple locations - San Diego, Santa Clara and Austin and Boxborough and across all levels.

Requirements

• Experience with GPU/CPU architecture and performance modeling.
• Strong C++ and Python programming skills.
• Good communication and presentation skills and desire to work as a team player
• 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.

Nice To Haves

• Exposure to graphics algorithms/concepts such as rasterization, programmable shading, texturing, etc highly desired.
• Programming experience in Graphics API such as OpenGL, Vulkan, Direct3D or CUDA is a plus

Responsibilities

• Develop performance models for Qualcomm’s family of GPUs with a strong focus on performance accuracy and SW engineering.
• Collaborate with architects on development of new GPU features and associated trade-off experiments across a wide range of GPU workloads in order to optimize performance, power and cost.
• Develop tests and micro-benchmarks to troubleshoot and validate the performance of the various GPU blocks including fixed function graphics pipelines, programmable shader processors and memory subsystem.
• Develop tools and scripts to improve performance data analysis and streamline workflows

Benefits

• competitive annual discretionary bonus program
• opportunity for annual RSU grants
• highly competitive benefits package is designed to support your success at work, at home, and at play.

What This Job Offers

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