Generative AI Engineer

Summary: Siemens is a global technology company focused on industry, infrastructure, transport, and healthcare. They are seeking a talented AI Engineer with a strong foundation in mechanical engineering to drive the integration of artificial intelligence into engineering design and simulation for automated manufacturing. Responsibilities: - Develop and implement AI-driven tools that enhance mechanical design, modeling, and simulation processes - Apply machine learning algorithms to predict mechanical behavior - Collaborate with mechanical engineers to automate CAD/CAE workflows and optimize complex mechanical designs through AI-assisted parametric analysis - Utilize deep learning and reinforcement learning to support generative design, and simulation-based decision making - Build data pipelines from design repositories, test results, and manufacturing data to train models for design optimization - Support the development of digital twin models that connect mechanical design data with in-field performance data for continuous product improvement and automated manufacturing - Maintain documentation, testing, and version control to ensure reproducibility and compliance with engineering standards - Stay current on advancements in AI for engineering design, additive manufacturing, and product development Required Qualifications: - Master's degree or Ph.D. in Mechanical Engineering, Computational Mechanics, Computer Science or Artificial Intelligence - 1-3 years of experience applying AI or automation in a mechanical engineering or product development CAD/CAM/CAE environment - Strong programming skills in Python, with proficiency in AI frameworks - Familiarity with CAD/CAE environments such as SolidWorks or Siemens NX, but preferably with PTC Creo - Familiarity with PLM environments preferably with Siemens Teamcenter - Understanding of mechanical design principles, materials, thermodynamics, and structural analysis - Experience working with engineering datasets including simulation - Knowledge of data preprocessing, feature extraction, and model training for generative engineering applications Preferred Qualifications: - Hands-on experience in AI-assisted generative design or simulation automation - Experience integrating AI models with engineering automation tools or digital twin platforms - Strong understanding of MLOps, Git, and CI/CD for model deployment in engineering workflows - Excellent communication skills with ability to bridge mechanical domain knowledge and data science techniques Required Skills: AI frameworks, Python, Mechanical Engineering Important Skills: CAD/CAE environments, MLOps, Data preprocessing Nice-to-Have Skills: communication, Collaboration