About the job
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Graphics Software Engineering General Summary: Ideal Candidate Will Have Strong C/C++ programming skills Familiarity with LLVM Familiarity with a GPGPU API such as SYCL, CUDA or OpenCL. Understanding of data structures and algorithms, including object-oriented programming 2+ years industry experience
Responsibilities
Applies knowledge of compilers to evaluate and improve performance of different machine learning frameworks. Applies advanced graph optimization techniques to maximize utilization of GPU HW resources Writes and reviews code for Machine Learning graph compilers and Machine Learning runtimes. Assists in identifying deficiencies in designs and works with team members to develop solutions to improve designs. Collaborates with team members to understand new features and functionality that align with needs and goals for implementation and customization. Writes detailed design documentation and feature descriptions for projects.
Qualifications
Minimum
• Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. OR Master's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. OR PhD in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. • 1+ year of work experience with one or more programming language suitable for graphics (e.g., C++, C).
Preferred
Knowledge of GPU architecture and optimization techniques for GPGPU code. Experience with a Machine Learning Graph Compiler. Knowledge of MLIR