Edge Ai Model Optimization Research Engineer

NXP Semiconductors

Guadalajara, Mexico
Neural network quantization research
Generative ai and agentic ai
Pytorch, tensorflow, onnx
Join an innovative environment with technology experts and mentors to tackle exciting challenges in Edge AI optimization

Job Summary

  • Join an innovative environment with technology experts and mentors to tackle exciting challenges in Edge AI optimization.
  • Contribute to enabling highly efficient Generative and Agentic AI systems on resource-constrained edge devices by focusing on model quantization.
  • Translate research prototypes into robust, optimized production code and contribute to NXP's intellectual property portfolio through patents and publications.

Matching Summary

Join an innovative environment with technology experts and mentors to tackle exciting challenges in Edge AI optimization.

Skills & Requirements

Must-have

  • Neural network quantization research
  • Generative AI and Agentic AI
  • PyTorch, TensorFlow, ONNX
  • Python and C/C++ proficiency
  • Embedded systems constraints

Nice-to-have

  • MLOps tooling
  • Yocto Project familiarity
  • Custom kernel development
  • MLIR or TVM knowledge

Key Requirements

  • MSc or Ph.D. in relevant field
  • Deep AI/ML understanding
  • Strong systems engineering skills
  • Experience with model optimization pipelines
  • Familiarity with embedded hardware

Work Rights

Not specified

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