Scientific Computing Engineer

il y a 1 semaine


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 and the global demand of a growing eyewear industry.

Our Digital Innovation Department

We are a team of innovators who develop cutting-edge scientific software and digital user-centric technologies to answer each client's unique challenges and needs. We connect with a large ecosystem of startups and universities to drive innovation and growth.

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:

  • Designing, implementing, and optimizing mathematical algorithms to solve complex problems in the field of optics.
  • Contributing to the design and development of high-performance computing software, ensuring compatibility with various computational architectures.
  • Developing and running large-scale simulations to model eye and lens systems, ensuring accuracy and computational efficiency.
  • Analyzing large datasets generated from simulations, developing automated tools for data processing, and extracting meaningful insights.
  • Working closely with cross-functional teams to integrate computational tools into larger workflows.
Candidate Profile

We are looking for a graduate of an engineering school or master's degree in applied mathematics, physics, computer science, or a related field. You should have a first experience in software development, ideally gained in the medical device field. A PhD is a plus.

Required Skills
  • 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 skills, with a solid understanding of mathematical modeling and numerical analysis.
  • Demonstrated ability to 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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