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JobsSamsung

Computational Engineer Intern

Samsung

Computational Engineer Intern

Samsung

6 rue Fructidor, Saint-Ouen, France

·

On-site

·

Internship

·

1w ago

Required Skills

FEA

Abaqus

Python

English

Position Summary

6 months starting in July 2026

Location: Station F (5 Parv. Alan Turing, 75013 Paris)

Samsung Design Innovation Center (SDIC) is looking for a Computational Engineering Intern who is passionate about combining computational design workflows, advanced simulations, and experimental validation You will help develop, run, and automate FEA simulations for wearable products, conduct material characterization, and participate in user testing to validate model predictions and improve product performance. 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

FEA analysis:

  • Perform sensitivity analyzes on mechanical simulation for wearable product and assess impact of assumptions on simulation results

  • Automate simulation meshing process

  • Help in automating simulation setup and post processing

Experimental Design & Validation:

  • Perform material characterization to provide mechanical properties for FEA models

  • Provide mechanical test data to calibrate simulation models

  • Support user testing of wearable prototypes to evaluate fit, comfort, and usability.

Skills and Qualifications

Candidate Profile

  • Proficient in English (speaking and writing)

  • Currently pursuing a Master’s degree in engineering

  • Knowledge of FEA software (Abaqus mainly, or Ansys, Hypermesh, Nastran) and FEA theory fundamentals is essential for that offer

  • Familiarity with object-oriented Python scripting

  • Interest in developing simple test benches and experimental protocols

  • Detail-oriented, curious, and proactive

  • (Nice to have) Knowledge of parametric modeling tools

  • (Nice to have) Knowledge of simulation model calibration using experimental data

What We Offer

  • A 6-month immersive experience at the intersection of computational engineering, industrial design, and R&D

  • Hands-on exposure to FEA automation, material testing, and user-centered product validation.

  • A collaborative and international design environment where innovation drives real-world impact.

  • The chance to contribute to future Samsung wearable products.

  • The chance to work in one of the most vibrant global innovation hubs in the world

  • Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

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About Samsung

Samsung

A technology company that engages in consumer electronics, IT and mobile communications, and device solutions.

10,001+

Employees

Seoul

Headquarters

$267B

Valuation

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