Welcome to Qualcomm, a company at the forefront of innovation in the world of mobile technology. We are seeking a highly skilled and driven GPU Performance Engineer to join our team. As a GPU Performance Engineer, you will play a crucial role in optimizing the performance of our graphics processing units (GPUs) for our cutting-edge mobile devices. This position requires a strong technical background in GPU architecture and performance analysis, as well as a passion for pushing the boundaries of mobile graphics. If you are a self-motivated individual with a desire to be part of a dynamic and fast-paced environment, we invite you to apply for this exciting opportunity.
Conduct performance analysis and optimization of graphics processing units (GPUs) for mobile devices.
Collaborate with cross-functional teams to identify and implement solutions for improving GPU performance.
Conduct research and stay updated on latest GPU architecture and performance trends.
Develop and execute test plans to evaluate and validate GPU performance.
Analyze and interpret performance data to identify areas for improvement.
Troubleshoot and resolve performance issues in a timely manner.
Create documentation and reports to communicate performance findings and recommendations.
Continuously monitor and track GPU performance metrics to ensure optimal performance.
Identify and implement best practices for GPU performance optimization.
Participate in code reviews and provide feedback to improve GPU performance.
Collaborate with external partners and vendors to optimize GPU performance.
Stay informed and comply with industry standards and regulations related to GPU performance.
Proactively identify and address potential performance bottlenecks.
Continuously strive to improve and innovate GPU performance for mobile devices.
Participate in team meetings and provide updates on GPU performance projects and progress.
Where is this job?
This job is located at Santa Clara, CA, USA
Job Qualifications
Bachelor’s Degree In Electrical Engineering, Computer Science, Or Related Field.
Minimum Of 3 Years Of Experience In Gpu Performance Analysis And Optimization.
Proficiency In Programming Languages Such As C/C++ And Assembly.
Familiarity With Gpu Architectures And Graphics Apis Such As Opengl, Vulkan, And Directx.
Strong Analytical And Problem-Solving Skills, With The Ability To Troubleshoot And Optimize Complex Gpu Performance Issues.
Required Skills
Debugging Tools
Performance Analysis
Code Profiling
GPU Architecture
API Integration
Graphics Programming
Memory Optimization
Parallel Computing
Shader Development
Kernel Debugging
Hardware Acceleration
Soft Skills
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time Management
Creativity
Teamwork
Adaptability
Problem-Solving
Decision-Making
