GPU Performance Modelling Architect

Responsibilities

• Develop and maintain GPU performance models for architecture evaluation
• Conduct performance analysis of graphics and compute workloads to identify bottlenecks
• Perform architectural trade-off studies to generate and defend performance projections
• Bring up new workloads on performance models by fixing bugs and developing new features
• Evaluate new features and provide recommendations to improve performance and efficiency
• Build automation and analysis tools to improve modeling productivity
• Design and execute performance experiments and simulations
• Conduct root-cause analysis and derive actionable architectural insights
• Collaborate with cross-functional teams on feature development and optimization
• Present findings and influence future architecture decisions

Requirements

• Strong understanding of computer architecture
• Proficiency in C/C++ and Python
• Experience with architectural simulators and performance prediction
• Experience with performance analysis, profiling, and workload characterization
• Strong analytical, debugging, and problem-solving skills
• Strong verbal and written communication skills
• Bachelor's degree in Engineering, Computer Science, or related field with 8+ years of experience, or Master's with 7+ years, or PhD with 6+ years of relevant experience

Preferred Qualifications

• Knowledge of GPU, CPU, or Memory architecture
• Understanding of Graphics fundamentals
• Knowledge of modern 3D graphics pipelines and APIs (Vulkan, DX12, or OpenGL)
• Experience building performance analysis tools and automation frameworks
• Experience in technical leadership and cross-functional collaboration

About the Company

Qualcomm is a global leader in wireless technology, driving innovation in mobile, automotive, and Internet of Things (IoT) sectors. We hire the brightest minds to solve the world's most complex challenges and invent the future of connectivity.