Richemont R&I Intern — VLA Models for Industrial Robotics

Richemont is a Swiss luxury goods conglomerate that owns a portfolio of maisons across jewellery, watchmaking and high-end accessories, including Cartier, Van Cleef & Arpels, Montblanc and several premium watchmakers. The group combines artisanal heritage with advanced manufacturing and technical R&D to support product excellence and innovation across its maisons.

1. Develop, implement and validate VLA models applied to industrial robotic systems, including simulation and numerical analysis.
2. Preprocess and analyse sensor and kinematic data to support model training, calibration and performance assessment.
3. Integrate models into simulation environments and collaborate with control engineers to test behavior on virtual robotic platforms.
4. Design and execute experiments in simulation (and where applicable on hardware) to benchmark model fidelity and robustness.
5. Document methods, results and code; prepare technical reports and present findings to cross-functional R&I teams.
6. Collaborate with multidisciplinary teams (mechanical, controls, software) to translate research outcomes into actionable engineering improvements.

1. Currently enrolled in a MSc or engineering degree (Robotics, Mechanical/Electrical Engineering, Computer Science, Controls or equivalent) or recently graduated and eligible for an internship.
2. Strong foundations in dynamics, control theory and numerical methods as applied to robotics.
3. Solid programming ability and experience implementing algorithms for simulation, data processing and model evaluation.
4. Demonstrated capacity for rigorous experimental design, critical analysis and clear technical communication.
5. Autonomy, initiative and the ability to work collaboratively within multidisciplinary teams.

1. Python
2. C++
3. ROS
4. Gazebo
5. MATLAB/Simulink
6. PyTorch
7. TensorFlow
8. OpenCV
9. Git
10. Linux

Practical academic or internship experience with robotic simulation, kinematic/dynamic modelling or machine learning for control. Prior project work involving sensor data processing, algorithm implementation and end-to-end validation in simulated or hardware environments is expected.

Enrolment in or recent completion of a Master's-level engineering or scientific program (Robotics, Mechanical/Electrical Engineering, Computer Science, Controls or equivalent).

Richemont blends traditional craftsmanship with advanced technical expertise, fostering an environment where precision and creativity coexist. R&I teams operate in a collaborative, multidisciplinary setting that values methodological rigour, iterative experimentation and the translation of research into exceptional product and manufacturing solutions.