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

Company:

Qualcomm India Private Limited

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 ground Fixed 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.

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