The Qualcomm GPU Software team is seeking a GPU Software Kernel Development Engineer to develop and optimize high-performance kernels and runtimes for GPGPU operations, particularly in Machine Learning and Image Processing. This role involves working with the Graphics software stack across Android, Linux, and Windows platforms. The engineer will collaborate closely with hardware designers to enhance hardware/software interfaces and will be responsible for writing samples, documentation, and unit tests. The position offers exposure to cutting-edge technology areas and requires strong programming skills.

• Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related field and 2+ years of relevant experience, or a Master's degree with 1+ year of experience, or a PhD in a related field.
• 1+ year of experience with programming languages suitable for graphics, such as C++ or C.
• Strong C/C++ programming skills.
• Familiarity with a GPGPU API such as CUDA or OpenCL.
• Understanding of data structures and algorithms, including object-oriented programming.

• Write code for well-defined features, drivers, and APIs using different programming languages.
• Assist in identifying deficiencies in designs and collaborate with team members to develop solutions.
• Collaborate with team members to understand new features and functionality for implementation.
• Write detailed design documentation and feature descriptions for projects.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.