Huawei Research Center Germany & Austria
Intern - Generative AI for Safety Relevant Systems(m/w/x)
Full-timeInternshipOn-site
München
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BMBMW Group
Intern Generative AI in Engineering(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Applying generative AI and ML models for CAE processes (FEM) at a global automotive manufacturer. Experience with LLMs/VLMs in agentic frameworks in real-world projects required. Student apartments provided.
Requirements
- Master's degree in engineering, computer science, mathematics, or related field
- Programming experience in Python
- Practical knowledge of deep learning frameworks, especially PyTorch
- Experience with LLMs/VLMs in agentic frameworks (e.g., Langchain, Claude Agents SDK) in real-world projects
- Technical understanding of CAE processes, especially numerical simulations
- Scientific mindset
- Enthusiasm for applying cutting-edge research to real-world challenges
- Collaborative and organized contribution ability
- Strong English communication skills
- German language skills (plus)
Tasks
- Support a multidisciplinary team.
- Develop deep understanding of ML models for CAE processes (FEM).
- Benchmark ML methods to understand relationships between virtual/real geometries, text, videos, and engineering knowledge, including physical properties.
- Apply ML methods to understand relationships between virtual/real geometries, text, videos, and engineering knowledge, including physical properties.
- Improve ML methods to understand relationships between virtual/real geometries, text, videos, and engineering knowledge, including physical properties.
- Integrate ML methods into agent-based workflows.
- Support evaluation of simulation results.
- Support product development.
- Collaborate closely with domain experts and AI specialists.
- Collaborate with external partners (startups, hyperscalers, AI labs).
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- PyTorch
- LLMs
- VLMs
- Langchain
- Claude Agents SDK
- CAE
Benefits
Flexible Working
- Flexible working hours
- Mobile work
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Learning & Development
- Personal and professional development
Other Benefits
- Student apartments
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BMBMW Group
Intern Generative AI in Engineering(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Applying generative AI and ML models for CAE processes (FEM) at a global automotive manufacturer. Experience with LLMs/VLMs in agentic frameworks in real-world projects required. Student apartments provided.
Requirements
- Master's degree in engineering, computer science, mathematics, or related field
- Programming experience in Python
- Practical knowledge of deep learning frameworks, especially PyTorch
- Experience with LLMs/VLMs in agentic frameworks (e.g., Langchain, Claude Agents SDK) in real-world projects
- Technical understanding of CAE processes, especially numerical simulations
- Scientific mindset
- Enthusiasm for applying cutting-edge research to real-world challenges
- Collaborative and organized contribution ability
- Strong English communication skills
- German language skills (plus)
Tasks
- Support a multidisciplinary team.
- Develop deep understanding of ML models for CAE processes (FEM).
- Benchmark ML methods to understand relationships between virtual/real geometries, text, videos, and engineering knowledge, including physical properties.
- Apply ML methods to understand relationships between virtual/real geometries, text, videos, and engineering knowledge, including physical properties.
- Improve ML methods to understand relationships between virtual/real geometries, text, videos, and engineering knowledge, including physical properties.
- Integrate ML methods into agent-based workflows.
- Support evaluation of simulation results.
- Support product development.
- Collaborate closely with domain experts and AI specialists.
- Collaborate with external partners (startups, hyperscalers, AI labs).
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- PyTorch
- LLMs
- VLMs
- Langchain
- Claude Agents SDK
- CAE
Benefits
Flexible Working
- Flexible working hours
- Mobile work
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Learning & Development
- Personal and professional development
Other Benefits
- Student apartments
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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