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Job Area:
Engineering Group, Engineering Group > GPU ASICS Engineering
Responsibilities for GPU compiler performance engineer:
Profile and characterize trending GPU benchmarks and applications (games, HPC, AR/VR and AI)
Use/develop tools to identify performance bottlenecks and study optimization heuristics
Propose/prototype improvements in compilers and GPU architecture to tackle identified bottlenecks
Provide programming guide to help developers get better performance on Qualcomm GPUs
Minimum Qualifications:
• 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.
Ideal candidate will have :
Broad compiler knowledge, development, and optimization experience
Deep understanding of computer architecture (GPU, memory, data layout, etc.) and performance tradeoffs
Understanding of parallel computing on multi-core CPU, GPU, or heterogeneous systems
Extensive experience with benchmarking and performance analysis and tuning for parallel applications
Good communication skills and teamwork spirit, reliable and self-motivated
Preferred Qualifications:
Graphics shader programming (OpenGL, Vulkan, DirectX, or others) or OpenCL/CUDA/SYCL kernel development
Experience with performance profiling and modeling for games, HPC, AR/VR, or AI applications
Experience with machine learning / deep learning tools (scikit learn, tensorflow, or others)
Principal Duties and Responsibilities:
Leverages advanced GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores.
Builds functional model simulations, develops software, and tests for various graphics to verify correctness and ensures advanced performance and power goals are met.
Designs, programs, and runs comprehensive graphics tests using tools and methods under different scenarios and benchmarks to verify functionality, performance, power, and stability and identify issues.
Collaborates with cross-functional teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals.
Develops critical driver and compiler software to support GPU products.
Writes detailed technical documentation and feature descriptions for complex GPU projects to guide users and/or customers to implement output.
Level of Responsibility:
Works independently with minimal supervision.
Provides supervision/guidance to other team members.
Decision-making may affect work beyond immediate work group.
Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions.
Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
:
$161,800.00 - $242,600.00
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