Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrive is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? 

Transform the every day with us!

We 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 to enable automated manufacturing in a high mix environment.

In this role, you will collaborate with mechanical engineers, designers, and R&D teams to apply AI and machine learning techniques that reduce design cycles, improve product performance, and promote a full digital twin of the product. Your work will help develop intelligent tools for design automation, generative modeling, and virtual validation, enabling a new era of data-driven mechanical engineering.

You will make an impact by:

• 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.

You’ll win us over by having the following qualifications:

Basic 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.

About Siemens

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

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