深度学习模型量化与压缩_xc

Bosch Rexroth Pty. Ltd.

Shanghai, China
On-site
Deep learning model quantization
Post-training quantization experience
Quantization-aware training implementation
Bosch Rexroth Pty. Ltd. is seeking a candidate for the position of Deep Learning Model Quantization and Compression in Shanghai, China. The ideal candidate will have extensive experience in deep learning model optimization, particularly for embedded systems, with strong programming skills in Python and C++

Job Summary

  • This role focuses on developing cutting-edge technologies to optimize deep learning models for performance on embedded chips.
  • Candidates will be responsible for balancing model accuracy, size, and inference speed based on experimental evidence.
  • The position requires deploying and tuning neural networks on specific hardware accelerators like GPUs and NPUs.

Matching Summary

Match Score: 85

Bosch Rexroth Pty. Ltd. is seeking a candidate for the position of Deep Learning Model Quantization and Compression in Shanghai, China. The ideal candidate will have extensive experience in deep learning model optimization, particularly for embedded systems, with strong programming skills in Python and C++.

Skills & Requirements

Must-have

  • Deep learning model quantization
  • Post-training quantization experience
  • Quantization-aware training implementation
  • Model pruning and compression techniques
  • Embedded system deployment expertise
  • Python and C++ programming proficiency

Nice-to-have

  • Autonomous driving industry background
  • ADAS system and perception algorithm knowledge
  • NVIDIA TensorRT optimization experience
  • Horizon or Qualcomm chip deployment history
  • Real-time system development familiarity

Key Requirements

  • Master's degree in Computer Science or Electrical Engineering
  • Minimum 5 years of deep learning experience
  • Strong practical experience with PyTorch and TensorFlow

Work Rights

Not specified

Tailored Resume

Cover Letter