Scientific Computing Specialist

il y a 1 mois


Créteil, Île-de-France EssilorLuxottica Temps plein
About EssilorLuxottica

We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. Our company brings together the expertise of two industry pioneers to create a vertically integrated business that addresses the world's evolving vision needs.

Job Description

We are seeking a passionate scientific computing engineer to work on advanced computational models, numerical simulations, and mathematical algorithms development. As part of a multi-disciplinary team, your key responsibilities will include:

Key Responsibilities
  • Design, implement, and optimize mathematical algorithms to solve complex problems in the field of optics.
  • Contribute to the design and development of high-performance computing software, ensuring compatibility with various computational architectures.
  • Develop and run large-scale simulations to model eye and lens systems, ensuring accuracy and computational efficiency.
  • Analyze large datasets generated from simulations, develop automated tools for data processing, and extract meaningful insights.
  • Work closely with cross-functional teams to integrate computational tools into larger workflows.
Requirements
  • Graduate of an Engineering School or Master's degree in Applied Mathematics, Physics, Computer Science, or a related field.
  • First experience in software development, ideally gained in the medical device field. A PhD is a plus.
  • Strong background in applied mathematics and numerical optimization.
  • Strong proficiency in C++ and Python.
  • Experience with numerical methods, optimization algorithms, and scientific libraries.
  • Familiarity with parallel computing and high-performance computing environments.
  • Problem-Solving: Ability to tackle complex problems, with a solid understanding of mathematical modeling and numerical analysis.
  • Demonstrated ability to meaningfully contribute to industrial software development projects.
  • Natural curiosity, proactivity, and autonomy are mandatory.
  • Proven ability to work effectively in a multidisciplinary team environment.
  • English fluency is required. French and/or Italian is a plus.


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