CPU/DSP Low Level Kernel Development/Optimization-Staff Engineer

Job Description

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: General Summary: Key Responsibilities: Developing AI SW stack components on Qualcomm NPU/Hexagon DSP Processor Evaluating and optimizing neural network kernels runtime performance Working to enable state of the art neural network layers and new AI SW features to meet customer use-cases Working with architecture team to influence our next generation NPU/Hexagon DSP Processor General Summary: The candidate should possess 3 to 10 years of industry experience in embedded software development with deep learning exposure and having expertise in below areas would be preferred: Strong C and Assembly Programming skills with Strong OS & Multi-Processor concepts Understanding of Deep Learning architectures with hands on experience in compute optimizing the layers used there Strong in mathematical concepts and fixed-point computations In depth understanding of Memory management, MMU, IOMMU etc. Embedded software development in C and C++ on ARM, DSP or similar cores. Strong DSP/CPU processor architecture knowledge Exposure to vector processing on DSP Good debugging skills with experience on debugging with Lauterbach JTAG debuggers. Work on challenging customer requirements and issues. Knowledge of Software/Hardware Security concepts is desirable Strong math back groundFixed point concepts Minimum Qualifications: "¢ Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Minimum Qualifications: "¢ Bachelor's degree in Computer Science, Electrical/Electronic Engineering, or related field with 3+ years of relevant work experience.ORMaster's degree in Computer Science, Electrical/Electronic Engineering, or related field and 2+ years of relevant work experience.ORPhD in Computer Science, Electrical/Electronic Engineering, or related field with relevant exposure.