Data Engineer for Semiconductor Innovation

il y a 2 semaines


Grenoble, Auvergne-Rhône-Alpes, France Applied Materials Temps plein

Accelerate Your Career in Cutting-Edge Technology

Applied Materials is a global leader in the semiconductor equipment industry, driving innovation that powers the world's most advanced chips and displays. Our expertise in materials engineering at the atomic level enables our customers to transform ideas into reality.

We are seeking highly motivated Data Engineers to join our dynamic team. As an integral part of our Field Service organization, you will play a crucial role in leveraging data analytics to optimize equipment performance and enhance customer support.

Your Responsibilities:
  • Conduct in-depth data analysis on sensor signals from semiconductor equipment, identifying trends and patterns to accelerate troubleshooting efforts.
  • Develop insightful data visualizations to effectively communicate findings to the service team and promote the adoption of predictive models.
  • Design, test, and deploy innovative algorithms and models to gain a deeper understanding of equipment behavior based on real-world data insights from our field experts.
What We Offer:

This is an exceptional opportunity to embark on a rewarding career in the rapidly evolving semiconductor industry. You will:

  • Gain hands-on experience working with cutting-edge data analytics tools and techniques.
  • Collaborate with a team of talented engineers and experts in a dynamic and collaborative environment.
  • Contribute to the development of innovative solutions that drive operational excellence and customer satisfaction.
Your Profile:

We are looking for individuals who possess a strong analytical mindset, excellent problem-solving skills, and a passion for technology. You should have:

  • A Bachelor's or Master's degree in Data Science, Mechanical or Electrical Engineering, Information Systems, or a related field.
  • Advanced English language proficiency, with fluency in French, German, or Italian.
  • Strong interpersonal and communication skills, enabling effective collaboration within a team environment.


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