GPU Compute Gaming Compiler Engineer - Sr Staff Manager

Job Description

Job Posting Date

2025-10-08

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Job Description

Responsibilities:

This position will be responsible for research, analysis and improvement of Qualcomm's Adreno GPU compiler and system performance to our world wide customers. From the analyses and experiments on GPU shaders and bottlenecks, usage and development of tools/profilers, and investigation of compiler architecture, there will be opportunities to influence performance of games, applications, and hardware design, through interactions in compiler/driver, architecture and games development.

Qualifications:

• A BS/MS/PhD degree in Computer Science or Electrical Engineering.

• LLVM Compiler knowledge, development, and optimization experience.

• Understanding of GPU and computer architecture (CPU, memory, data layout, etc.) and performance tradeoffs.

• Experience with C/C++ and Python

• Good communication skills and teamwork spirit, reliable and self-motivated

Minimum Qualifications

• Bachelor's or higher degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 5+ years Systems Engineering or related work experience

Preferred Qualifications:

• Master's or higher degree in Computer Engineering or Computer Science.
• 7+ years Systems Engineering or related work experience

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Additional Job Description

Plus:

• Graphics shader programming (OpenGL, Vulkan, DirectX, or others) or OpenCL/CUDA kernel development

• Experience / understanding of profiling / debugging tools and hardware performance counters for parallel applications

• Experience with benchmarking and performance tuning for parallel applications, games, HPC, AR/VR, or AI applications.

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