Siemens · 3 days ago
Generative AI Engineer
Grand Prairie, TX
Full-time
Onsite
Entry, Mid Level
1+ years expSiemens 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, enabling automated manufacturing in a high mix environment.
Artificial Intelligence (AI)ConsultingCyber SecurityInternet of Things
Hiring Manager
Vera Ciminillo
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
Qualification
Required
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
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
Company
Siemens
Siemens empowers customers to transform the industries that form the backbone of economies: industry, transportation, buildings and grids.
10001+ employees
H1B Sponsorship
Siemens has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (26)
2023 (24)
2022 (26)
2021 (37)
2020 (36)
Funding
Current Stage
Public CompanyTotal Funding
$7.01BKey Investors
US Department of Energy
2025-02-20Post Ipo Equity· $1.5B
2024-09-17Grant· $1.5M
2024-09-04Post Ipo Debt· $332.4M
Leadership Team
Cedrik Neike
CEO Digital Industries
Nicola Bates
President and CEO Siemens Capital Co.
Recent News
2026-01-07
2026-01-07
Company data provided by crunchbase