CPU/DSP Deep Learning Layer Development

1 week ago

Bengaluru, Karnataka, India Qualcomm Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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 conceptsUnderstanding of Deep Learning architectures with hands on experience in compute optimizing the layers used thereStrong in mathematical concepts and fixed-point computationsIn 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 knowledgeExposure to vector processing on DSPGood 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. ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. ORPhD 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.

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