Geometry Reconstruction AI Engineer
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The Technologies R&D department provides DASSAULT SYSTEMES solutions (CATIA,SOLIDWORKS, SIMULIA, DELMIA ...) with AI-driven mathematical and geometricengines that form the foundation of generative workflows across 3D design, physicssimulation, and realistic visualization. Furthermore, the department spearheads IndustryWorld Model development across worldwide R&D, delivering specialized AI models for 3Drecognition, generation, and reconstruction alongside agentic workflows powered byVirtual Companions.Role Description and ResponsibilitiesWithin this department, you will join the team responsible for Continuous / Exact Shaperepresentation & editing, and work towards enhancing 3D Geometry & SpecificationReconstruction portfolio, leveraging AI.You will work as an AI Engineer at Technologies R&D Department.The Role of an AI Engineer involves following: Design, deliver, and continuously improve AI Models and Agents to enable industrial& world-class Generative Experiences & Virtual Companions skills Learn from production usage and user feedback to continuously raise accuracy,safety, performance, and cost eiciency. You will understand the requirements, build specifications, design solution,experiment, select model, prepare the appropriate data sets, train, fine tune model,evaluate the performance. You will design and develop Synthetic data generation pipelines leveraging DassaultSystèmes Software portfolio. You will ensure high quality of deliveries by creating appropriate automated tests. You will resolve quality, performance, robustness issues on components under yourresponsibility. You will use Enterprise AI and Agentic Framework and contribute to its evolution. You will work eectively in a global, multi-cultural, multi-site R&D environment. You will keep abreast of the latest technological developments, document andshare knowledge, best practices.
Qualifications Masters or PhD in either of Mechanical Engineering, Applied Mathematics,Mathematics & Computing, Scientific Computing, CAD/CAM/CAE Strong knowledge in one or more of Computational Geometry, DierentialGeometry, Numerical analysis, Optimization Experience in using CAD/CAM/CAE software Strong knowledge in one or more of Deep Learning, Generative AI, LLMs, Agenticarchitectures. Strong Programming skills preferably in C++, Python Overall, 2-6 years of Professional Experience in relevant Domain, comprising of:o 1 to 3 yrs experience in software development using OOPs, Data Structures,Algorithms, Design Patterns.o 1 to 5 yrs experience in developing AI/Machine Learning based solutions forproblems related to CAD/CAM/CAE, including model selection, training,evaluation Strong analytical & problem-solving mind Strong written and verbal communication skills, with ability to work as a team,collaborate with other local/remote teamsWhat’s in it for you? Integrate a scientific company at the heart of technological innovation, driven bystrong growth for more than 40 years. You will have opportunity to work in a friendly environment, at a Company focusedon all round well-being and sustainable growth of its Employees.
As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.
Dassault Systèmes is a catalyst for human progress. We provide business and people with collaborative virtual environments to imagine sustainable innovations. By creating virtual twin experiences of the real world with our EXPERIENCE platform and applications, we bring value to more than 350,000 customers of all sizes, in all industries, in more than 150 countries. Join our global community of more than 23,800 passionate individuals!
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