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INFINYTECH3D

INFINYTECH3D

www.infinytech3d.com

1 Job

2 Employees

About the Company

Tech start-up. Physics Simulation in VR Simulation solutions for Your immersive 3D applications The physics engine for scientific and critical business applications 100% real time - 100% interactive - 100% immersive

Listed Jobs

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Company Name
INFINYTECH3D
Job Title
Internship (Master 2): Advanced Simulation Feature Enhancement for Surgical Simulation
Job Description
**Job Title** Internship (M2): Advanced Simulation Feature Enhancement for Surgical Simulation **Role Summary** A research‑focused internship for a Master’s student to extend real‑time surgical simulation capabilities within the open‑source SOFA framework (C++). The role involves prototyping, coding, and optimizing physics‑based modules to improve accuracy and performance for medical visualizations. **Expectations** - Deliver new simulation features and performance improvements within a 6‑month period. - Produce clean, documented code that integrates seamlessly into the existing SurgiViz4D pipeline. - Communicate progress and technical choices through regular stand‑ups and Git pull requests. - Demonstrate problem‑solving skills and a proactive learning attitude. **Key Responsibilities** - Learn and adopt the SOFA architecture and development workflow. - Design, implement, and test new physics modules (soft‑tissue deformation, thermal/electrosurgical effects, or GPU‑accelerated optimisations). - Apply and refine numerical methods, finite‑element formulations, and matrix operations. - Profile, benchmark, and optimize simulation performance (CPU multithreading, GPU kernel design). - Collaborate with senior R&D engineers to merge contributions into the main codebase. - Maintain detailed technical documentation and user guides. **Required Skills** - Proficient in C++ (standard library, STL, modern language features). - Strong foundation in numerical methods, finite‑element analysis, and linear algebra. - Familiarity with SOFA framework (hands‑on experience preferred, but not required). - Knowledge of GPU programming (CUDA/OpenCL) is advantageous. - Comfortable with Python, Git, CI/CD pipelines, and collaborative code reviews. - Excellent problem‑solving, debugging, and communication abilities. **Required Education & Certifications** - Current final‑year engineering or Master’s student (M2) in Computer Science, Applied Mathematics, Scientific Computing, or related discipline. - No specific certifications required.
Lyon, France
On site
29-12-2025