Software Development Engineer

Intel Intel · Semiconductors · Chengdu, China +1

Software Development Engineer role focused on applying AI/Bigdata technologies to manufacturing data for factory yield and process engineering problem-solving. Responsibilities include delivering data analytics tools, algorithms, and methodologies using machine learning techniques like predictive modeling, pattern recognition, clustering, anomaly detection, and time series analysis. Requires a Master's degree and experience with programming languages like Python or R, and common ML packages.

What you'd actually do

  1. apply AI/Bigdata technology to translate manufacturing data into meaningful insights to help solve factory yield/process engineering problems
  2. deliver data analytics tools/algorithms/methodologies for engineers in different areas in Manufacturing

Skills

Required

  • Master degree in Statistics, Machine learning, Computer Science or relevant disciplines
  • Experience using data analysis techniques like predictive modelling, pattern recognition/machine learning algorithms, clustering, dimensionality reduction, anomaly detection, time series analysis etc.
  • Python
  • R
  • numpy
  • pandas
  • Scikit-learn
  • Tensorflow
  • Pytorch
  • SQL
  • Hadoop
  • Spark
  • semiconductor industry experience
  • team worker
  • excellent communication
  • presentation skills
  • time management skills
  • technical problem solving
  • analysis skills

Nice to have

  • SQL
  • Hadoop
  • Spark
  • semiconductor industry experience

What the JD emphasized

  • Master degree in Statistics, Machine learning, Computer Science or relevant disciplines
  • Experience using data analysis techniques like predictive modelling, pattern recognition/machine learning algorithms, clustering, dimensionality reduction, anomaly detection, time series analysis etc.
  • Must have at least one data programming language/scripting experience (e.g. Python, R, JMP, etc.) and familiar with most commonly used packages, numpy/pandas/Scikit-learn/Tensorflow/Pytorch etc.
  • Must be a team worker with excellent communication, presentation, and time management skills
  • Excellent technical problem solving and analysis skills, ability to quickly digest complex problems

Other signals

  • apply AI/Bigdata technology to translate manufacturing data into meaningful insights
  • deliver data analytics tools/algorithms/methodologies for engineers
  • predictive modelling, pattern recognition/machine learning algorithms, clustering, dimensionality reduction, anomaly detection, time series analysis