Software Engineer - Robotics

Role Description & Responsibilities:DASSAULT SYSTÈMES is seeking a Software Development Engineer with experience in robotics systems and multiple programming languages to join our DELMIA R&D organization. This individual will contribute to the evaluation and deployment of emerging robotics, simulation, and AI/machine learning technologies for customer production environments. The ideal candidate combines hands-on robotics expertise, strong software engineering fundamentals, and the ability to assess and operationalize new technologies.• Develop and integrate software for robotics systems, simulation environments, and related production technologies using multiple programming languages• Contribute to architecture reviews and evaluate system design, integration approaches, and technical feasibility• Experiment with and evaluate new robotics, simulation, and AI/machine learning components through prototypes and proof-of-concept initiatives• Prepare clear technical assessments and recommendations for engineering leaders and executive stakeholders• Define implementation and deployment plans for technologies selected for customer production use• Execute and support the production deployment, integration, and validation of approved technologies• Collaborate with teams across the U.S., Asia, and Europe in a fast-paced Agile environment to deliver concrete resultsQualifications• Education: Master’s degree in computer engineering or a similar technical discipline.• Experience: 4–6 years of software development experience.• Robotics experience: 4–6 years of experience with industrial robotics and/or autonomous systems, including programming and motion control; this experience is required.• Strong mathematical background, including experience with numerical solvers and stochastic analysis used in machine learning.• Demonstrated ability to work across multiple programming languages and technologies, and with varied data and file formats.• Experience with web technologies and communication and integration methods such as TCP/IP, sockets, Docker containers, and gRPC.• Background in control programming and interfacing with peripheral technologies, including sensors and vision systems.• Experience evaluating and deploying robotics, simulation, or AI and machine learning technologies in production environments.• Ability to collaborate effectively with globally distributed teams in an Agile software development environment.• Strong communication and presentation skills, including the ability to explain complex technical concepts clearly to technical and executive audiences.