Siemens Corporation-posted 19 days ago
$102,459 - $193,147/Yr
Full-time • Mid Level
Onsite • Grand Prairie, TX
5,001-10,000 employees
Computer and Electronic Product Manufacturing

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.

  • 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.
  • 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.
  • 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.
  • Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
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