Edge Ai Model Optimization Research Engineer

NXP Semiconductors

**
Experience with cnn architectures
Proficient in python and c/c++
Strong hands-on experience with pytorch and tensorflow
** NXP Semiconductors is seeking an Edge AI Model Optimization Research Engineer to advance their Edge AI Optimization program, focusing on efficient Generative and Agentic AI systems for resource-constrained edge devices. The ideal candidate will possess strong expertise in AI/ML, particularly with CNNs and Generative AI, along with proficiency in C++ and Python for production implementation. **

Job Summary

  • Join a team that fosters innovation and values diverse perspectives.
  • Contribute to cutting-edge research on neural network quantization.
  • Shape the future of efficient on-device Generative AI and Agentic AI.

Matching Summary

Match Score: 75

** NXP Semiconductors is seeking an Edge AI Model Optimization Research Engineer to advance their Edge AI Optimization program, focusing on efficient Generative and Agentic AI systems for resource-constrained edge devices. The ideal candidate will possess strong expertise in AI/ML, particularly with CNNs and Generative AI, along with proficiency in C++ and Python for production implementation. **

Skills & Requirements

Must-have

  • Experience with CNN architectures
  • Proficient in Python and C/C++
  • Strong hands-on experience with PyTorch and TensorFlow
  • Understanding of embedded systems constraints

Nice-to-have

  • Experience with NPUs and device-level profiling
  • Familiarity with MLOps tools
  • Knowledge of MLIR or TVM

Key Requirements

  • MSc or Ph.D. in Computer Science, Electrical Engineering, or Mathematics
  • Proven experience in AI/ML
  • Specialization in Machine Learning or Deep Learning

Work Rights

Not specified

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