TRANSVALOR

About the Company

Transvalor is a French company founded in 1984, with its headquarters located in the Sophia Antipolis technology park in the South of France. It is above all a multicultural team passionate about cutting-edge technology and driven by a desire for innovation in order to always offer the best solutions to its customers. Transvalor has developed an extensive suite of high performance simulation software that addresses a wide range and variety of forming processes, for metallic solid and liquid materials as well as for polymers : - FORGE® for extensive hot, warm and cold metal forming - COLDFORM® for cold metal forming - SIMHEAT® for metal heat treatment - THERCAST® for ingot & continuous casting and foundry casting - TRANSWELD® for welding processes - DIGIMU® for microstructural evolution - REM3D® for plastic injection molding and chemical foaming - Z-set for fatigue and life-cycle analysis Transvalor solutions provide the manufacturing and engineering intelligence to a wide range of industries: Automotive, Aerospace, Energy, Oil and Gas, Construction, Medical, Watchmaking and many others. We work in close collaboration since over 35 years with the CEMEF, prestigious material processing research center of Mines ParisTech engineering school, to ensure the sustainability of our products with the latest developments. Transvalor is present worldwide thanks to its subsidiary and its very dense network of distributors who provide both sales and assistance functions. For further information please contact us at marketing@transvalor.com Join us: Twitter: https://twitter.com/Transvalor YouTube: https://www.youtube.com/user/Transvalor1984

Listed Jobs

Company Name

TRANSVALOR

Job Title

Ingénieur IA / Simulation numérique F/H

Job Description

**Job title** AI & Digital Simulation Engineer – Digital Forging (F/M) **Role Summary** Integrate deep‑learning and numerical simulation in the metal forging sector. Conduct literature reviews, operate forging simulation software, and build a Python proof‑of‑concept to optimize 3D forging geometry for reverse‑engineering and process improvement. **Expectations** - Complete comprehensive reviews of graph neural network (GNN) techniques and process‑design optimization literature. - Set up and run forging simulations in the FORGE® environment. - Design and implement a Python prototype that trains a GNN model to predict and optimize 3D forging geometry. - Collaborate with cross‑functional engineering and analytics teams to align simulation results with manufacturing goals. **Key Responsibilities** 1. Perform literature surveys on GNNs and process design optimization. 2. Acquire proficiency in FORGE®; configure and run forging process simulations. 3. Develop, train, and validate a GNN‑based optimization model in Python. 4. Translate simulation outputs into actionable geometrical optimizations. 5. Document methodology, code, and results for internal reporting and future replication. 6. Maintain version control (Git) and continuous integration practices for code management. **Required Skills** - Proficiency in Python (NumPy, SciPy, PyTorch/TensorFlow, pandas). - Experience with Windows and Linux operating environments. - Advanced skills in Microsoft Office (Excel, PowerPoint, Word). - Fundamental knowledge of 3D modeling and numerical simulation concepts. - Ability to translate complex scientific literature into actionable development tasks. **Required Education & Certifications** - Bachelor’s or Master’s degree (or final‑year candidacy) in Materials Science, Mechanical Engineering, Applied Mathematics, or a closely related field. - Familiarity with machine‑learning frameworks and numerical simulation tools is highly desirable. ---

Biot, France

On site

23-12-2025