Huawei Research Center Germany & Austria
Intern - Generative AI for Safety Relevant Systems(m/w/x)
VollzeitPraktikumnur vor Ort
München
Neuer Job?Nejo!
Die KI-Suchmaschine für Jobs
BMBMW Group
Intern Generative AI in Engineering(m/w/x)
München
VollzeitPraktikumVor Ort
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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)
Aufgaben
- 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).
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- LLMs
- VLMs
- Langchain
- Claude Agents SDK
- CAE
Benefits
Flexibles Arbeiten
- Flexible working hours
- Mobile work
Mentoring & Coaching
- Comprehensive mentoring and onboarding
Weiterbildungsangebote
- Personal and professional development
Sonstige Vorteile
- Student apartments
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens BMW Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
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Master Thesis Benchmarking Generative AI(m/w/x)
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VollzeitPraktikumnur vor OrtMünchen
BMBMW Group
Intern Generative AI in Engineering(m/w/x)
München
VollzeitPraktikumVor Ort
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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)
Aufgaben
- 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).
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- LLMs
- VLMs
- Langchain
- Claude Agents SDK
- CAE
Benefits
Flexibles Arbeiten
- Flexible working hours
- Mobile work
Mentoring & Coaching
- Comprehensive mentoring and onboarding
Weiterbildungsangebote
- Personal and professional development
Sonstige Vorteile
- Student apartments
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens BMW Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
BMW Group
Branche
Automotive
Beschreibung
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
Noch nicht perfekt?
- Huawei Research Center Germany & Austria
Intern - Generative AI for Safety Relevant Systems(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - BMW Group
Intern Agentic AI for Cockpit Development(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - DENSO
Working student - Generative AI-supported Testing Methods for Automated Driving Development(m/w/x)
VollzeitWerkstudentnur vor OrtEching - BMW Group
Master Thesis Benchmarking Generative AI(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - Huawei
AI Architectures Research for Safety Related Systems Intern(m/w/x)
VollzeitPraktikumnur vor OrtMünchen