채용
Required Skills
Grasshopper
Rhinoceros
Python
English
Position Summary
6 months ASAP
Location: 6 Rue Fructidor, Saint Ouen or Station F (5 Parv. Alan Turing, 75013 Paris)
Samsung Design Innovation Center (SDIC) is looking for a Computational Design Intern who is passionate about design, technology, and computational workflows. As part of the Computational Design team, you will work at the intersection of digital modeling, data-driven design, and experimental validation. You will gain hands-on experience in preparing and analyzing 3D/4D human scan data, as well as supporting physical testing and user studies that directly impact the development of next-generation wearable products. This internship offers a unique opportunity to work in a cutting-edge R&D environment, collaborating with designers, engineers, and creative technologists in Paris, San Francisco and Seoul.
The position is based at Station F in Paris, the world’s largest startup campus and one of the most vibrant global innovation hubs. Station F brings together leading startups, venture capital firms, tech leaders, and major innovation incubators under one roof, creating a uniquely dynamic and entrepreneurial ecosystem. Working from this internationally renowned center of innovation places you at the heart of cutting-edge technology, cross-industry collaboration, and a thriving startup scene - an environment designed to accelerate experimentation, bold ideas, and breakthrough solutions.
Role and Responsibilities:
Key Responsibilities
Computational Design & Data Processing:
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Assist in developing parametric and generative models in Rhino and Grasshopper
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Support the cleaning and processing of raw 3D human scan data
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Use in-house Python scripts to process 3D meshes for analysis.
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Help build structured scan databases for future product development.
Experimental Design & Validation:
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Assist in 3D/4D scanning sessions for human data collection.
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Support user testing of wearable prototypes to evaluate fit, comfort, and usability.
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Participate in materials testing and characterization
Skills and Qualifications
Candidate Profile
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Proficient in English (speaking and writing)
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Currently pursuing a Master’s degree or recently graduated in Computational Design, Industrial Design, Engineering, Computer Graphics, Human Factors, or a related field.
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Familiarity with parametric design tools (e.g., Grasshopper, Rhinoceros) and Python scripting
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Interest in 3D scanning, user testing, or human-centered product design.
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Comfortable working with 3D meshes and processing large datasets.
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Detail-oriented, curious, and proactive
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(Nice to have) Knowledge of AI/ML techniques for design applications
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(Nice to have) Familiarity with finite element simulations (FEM)or material-based simulations
What We Offer
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A 6-month immersive experience at the intersection of computational design, experimental workflows, and user-centered product innovation.
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Hands-on exposure to 3D/4D scanning, digital twin creation, and human data analysis.
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Opportunities to participate in user studies and support experimental product validation.
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A collaborative and international design environment where innovation drives real-world impact.
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The chance to contribute to future Samsung products and influence next-generation wearable experiences.
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The chance to work in one of the most vibrant global innovation hubs in the world
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About Samsung
Reviews
3.7
15 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.5
Career
2.0
Management
1.8
15%
Recommend to a Friend
Pros
Hardware/technology leadership
Competitive salary offers for some roles
Sign-on bonuses available
Cons
Toxic culture and politics
Poor work-life balance with strict RTO policies
Micromanagement and employee tracking
Salary Ranges
22 data points
Senior/L5
Senior/L5 · Digital Transformation Manager
1 reports
$180,827
total / year
Base
$157,414
Stock
-
Bonus
-
$180,827
$180,827
Interview Experience
6 interviews
Difficulty
2.2
/ 5
Duration
14-28 weeks
Offer Rate
67%
Experience
Positive 33%
Neutral 33%
Negative 34%
Interview Process
1
Application Review
2
Phone Screen
3
Technical/Video Interview
4
Team Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Role-Specific Skills
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