Richemont Research & Innovation Intern – Digital Optimization

Employment
Internship
Seniority
Intern
Posted
Sep 24, 2026

About Richemont

Richemont is one of the world’s foremost luxury groups, stewarding a distinguished portfolio of maisons across jewellery, watchmaking, fashion and accessories, including Cartier, Van Cleef & Arpels, Jaeger-LeCoultre and Montblanc. As an employer, it combines the heritage of artisanal excellence with a forward-looking culture shaped by innovation, client-centricity and responsible business. Its global teams operate in an environment that values craftsmanship, entrepreneurship and collaboration, offering opportunities to grow within iconic maisons and group functions alike. Richemont attracts professionals who aspire to contribute to enduring luxury, preserving rare savoir-faire while helping define the future of high craftsmanship.

Richemont Research & Innovation Intern – Digital Optimization in Neuchâtel, Switzerland. Develop computational design methodologies for luxury watchmaking and jewelry.

Role & Responsibilities

  • Synthesize existing knowledge and best practices in computational design optimization
  • Develop and implement advanced numerical models for watch and jewelry component geometry
  • Define and standardize treatment procedures for optimizing new parts while preserving mechanical performance
  • Communicate technical results and methodologies internally and across all Richemont Houses and Maisons
  • Collaborate with the Quality, Performance & Reliability team under direct supervision of an assigned mentor

Qualifications

  • Master's-level student in computational science and engineering, mechanical engineering, mathematics, or equivalent discipline
  • Specialization in modeling, numerical methods, or finite element analysis
  • Advanced proficiency in programming (Python, MATLAB) and CAD/simulation software (ANSYS)
  • Strong scientific rigor and technical writing skills
  • Demonstrated ability to synthesize complex information and propose solutions

Skills

Python MATLAB ANSYS Finite element analysis (FEA) Numerical modeling Computational optimization Technical documentation Scientific communication

Experience

Currently pursuing or recently completed Master's degree in computational engineering or related field; evidence of practical coursework or projects involving modeling and optimization.

Education

Master's-level engineering education (Grande École, EPF, or equivalent) in computational science, mechanical engineering, or mathematics with specialization in numerical methods or finite element analysis.

Workplace

This position is based in Neuchâtel, Neuchâtel, Switzerland, within easy reach of Bern.

Culture

Richemont fosters a refined, international workplace where its Maisons preserve exceptional craftsmanship while benefiting from the strength and perspective of a global luxury group. As an employer, it values long-term stewardship, collaboration, innovation, and the development of talent within an environment shaped by heritage, creativity, and high standards.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.

Frequently Asked Questions

A.

The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Richemont, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Computational Design Intern», «Optimization Engineering Intern», «R&D Internship – Horological Design», «Numerical Modeling Intern», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.

Richemont

Richemont Research & Innovation Intern – Digital Optimization

Neuchâtel, Switzerland

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