Edge Ai Model Optimization Research Engineer

NXP USA INC.

Guadalajara, Mexico
On-site
Cnn architectures
Generative ai (transformers)
Pytorch, tensorflow, onnx
NXP USA Inc. is seeking an experienced AI Research Engineer/Scientist for their Edge AI Optimization program in Guadalajara, Mexico. The role focuses on the development and implementation of efficient AI systems for resource-constrained edge devices, requiring strong expertise in machine learning and systems engineering

Job Summary

  • We are searching for a highly skilled AI Research Engineer/Scientist with a deep theoretical background and strong systems engineering skills to contribute to our Edge AI Optimization program.
  • You will work at the forefront of innovation, bridging the gap between research and practice, focusing on CNNs, Large Language Model (LLM) and Vision Language Model (VLM) quantization.
  • If you want to shape the future of efficient on-device GenAI and Agentic AI, this is the place to be.

Matching Summary

Match Score: 85

NXP USA Inc. is seeking an experienced AI Research Engineer/Scientist for their Edge AI Optimization program in Guadalajara, Mexico. The role focuses on the development and implementation of efficient AI systems for resource-constrained edge devices, requiring strong expertise in machine learning and systems engineering.

Skills & Requirements

Must-have

  • CNN architectures
  • Generative AI (Transformers)
  • PyTorch, TensorFlow, ONNX
  • Python and C/C++
  • embedded systems constraints

Nice-to-have

  • MLOps (MLFlow, ClearML)
  • Yocto Project
  • custom kernel development
  • MLIR or TVM

Key Requirements

  • MSc or Ph.D. in Computer Science, Electrical Engineering, or Mathematics
  • Experience with NPUs, device-level profiling
  • Familiarity with MLOps and Yocto Project
  • Knowledge of MLIR or TVM

Work Rights

Not specified

Tailored Resume

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