Trainer for CAD and Artificial Intelligence in Engineering

Job not on LinkedIn

🔥 14 minutes ago

🇩🇪 Germany – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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WBS

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1998

💼 Consulting

⚡ Energy

Consulting • Energy

WBS é uma empresa baiana, fundada em julho de 1998, por quatro ex-funcionários da Promon Engenharia. Inicialmente atendendo principais empresas da área química e petroquímica com base no Polo Petroquímico de Camaçari, na Bahia, hoje mantém uma carteira de clientes que inclui grandes nomes como a Petrobras e Braskem. Atualmente, possui filiais em Camaçari, São Francisco do Conde, Candeias e São Paulo, com operações em Pernambuco, Rio de Janeiro, Paraná, Santa Catarina e Rio Grande do Sul.

📋 Description

• Teaching practical, job-relevant knowledge of CAD systems, generative design and the professional use of AI in engineering • Guiding engineering professionals from mechanical engineering on their transition to modern digital product development • Assisting participants in working more efficiently on design tasks with AI support • Instructing on the appropriate use of generative AI tools • Teaching how to critically and professionally evaluate technical AI-generated results • Optimizing modern CAD and engineering workflows • Teaching responsible and economically sensible integration of AI into everyday professional practice • Supporting the digital engineering process from the design task through AI-assisted analysis, generative variant development, technical evaluation and optimization, to documentation and transfer into professional practice • Explaining complex technical topics clearly and answering participant questions

🎯 Requirements

• Degree or technical training in mechanical engineering, product development, design engineering or a comparable field • At least 5 years of professional experience in design, product development or CAD engineering • Very good knowledge of at least one professional CAD system, e.g. Autodesk Inventor, SolidWorks, CATIA or Fusion • Practical experience with parametric design and modern CAD workflows • Solid knowledge of current AI applications in the engineering and CAD environment • Demonstrable experience in productive use of generative AI solutions such as ChatGPT, Microsoft Copilot, Claude, Gemini or comparable systems • Experience with AI-supported features of modern CAD systems, for example generative design or automated optimization • Ability to professionally assess and critically question AI-generated results • Confident understanding of opportunities, limitations, risks and quality requirements of generative AI • Experience teaching technical content to adults or comparable training experience • Ideally experience with generative design and topology optimization • Knowledge of current developments in AI for engineering • Experience analyzing and optimizing design processes • Knowledge of parametric modeling and automated variant generation • Experience in prompt engineering for technical queries • Competence in integrating AI into existing engineering workflows • Experience evaluating technical feasibility, manufacturability and functionality of AI-generated solutions • Knowledge of data protection, copyright and responsible use of AI in a corporate context • Experience in coaching, project work or practice-oriented knowledge transfer • Experience with Autodesk Fusion Generative Design or comparable solutions • Knowledge of Autodesk AI, SolidWorks AI, CATIA 3DEXPERIENCE AI or similar platforms • Experience with BIM-supported AI applications • Knowledge of Dynamo, Grasshopper or other visual scripting solutions • Experience with automation tools such as Python, Power Automate or n8n • Knowledge of digital product development concepts, e.g. Digital Twin, PLM or simulation • Experience with AI-supported documentation and knowledge management • Knowledge of modern cloud CAD systems • AEVO qualification or comparable pedagogical qualification

🏖️ Benefits

• Individual development of potential • Independent, responsible work • Long-term contract security • Competence-oriented, fair and reliable deployment planning • Flexible work from home • Structured pre-planning period of three to nine months • Virtual networking • Teaching from the home office using Microsoft 365 • Innovative working environment • Warm, collegial atmosphere • Transparent communication • Active exchange among trainers • Digital networking event • Discounted seminars • Intensive onboarding • Discount for obtaining the pedagogical qualification (AEVO)