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Senior Vehicle AI Architect Research(m/w/x)
Designing end-to-end AI/data architectures for digital cockpit and driver interaction, implementing SLM/VLM in automotive E/E. Master’s or PhD in AI/ML/CS, proven track record in embedded AI architectures, and SLM/VLM implementation required. 6 weeks annual leave, overtime compensation, Christmas bonus.
Anforderungen
- University degree (Master’s or PhD) in AI, Machine Learning, Data Science, Computer Science or related field
- Several years of experience in AI/data architecture
- Experience in automotive E/E and vehicle AI (plus)
- Proven track record in embedded AI architectures
- Implementation of Small Language Models (SLM) and Vision-Language Models (VLM)
- Proficiency in AI training workflows and model optimisation for deployment (plus)
- Experience with pruning, fine-tuning, quantization, multimodal encoding (plus)
- Familiarity with open-source AI stacks on embedded hardware (NPU)
- Comparison to proprietary frameworks (latency, throughput, energy focus)
- Solid software development and engineering skills
- Leadership experience in agile, cross-functional teams
- Expertise in multi-agent orchestration and conversation-based workflows
Aufgaben
- Design end-to-end AI and data architectures.
- Develop architectural concepts for diverse use cases.
- Address digital cockpit and driver interaction scenarios.
- Provide architectural guardrails to business units.
- Provide architectural guardrails to development teams.
- Drive implementation of scalable AI software platforms.
- Apply state-of-the-art AI research.
- Leverage in-house software stacks.
- Link platform and application development.
- Define interfaces for platforms and applications.
- Integrate new AI trends into platforms.
- Integrate new requirements into platforms.
- Co-create AI use cases across domains.
- Prioritize AI use cases across domains.
- Assess feasibility of AI use cases.
- Assess value of AI use cases.
- Translate use cases into system requirements.
- Translate use cases into hardware requirements.
- Continuously evaluate latest AI developments.
- Implement valuable AI developments.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Small Language Models (SLM)
- Vision-Language Models (VLM)
- vLLM
- llama.cpp
- ONNX Runtime
- TensorRT
- LiteRT LM
- ExecuTorch
- Llama-Stack
- NPU
- Python
Benefits
Flexibles Arbeiten
- Flexible working hours
Mehr Urlaubstage
- 6 weeks annual leave
Attraktive Vergütung
- Overtime compensation
Boni & Prämien
- Christmas bonus
- Profit sharing
Weiterbildungsangebote
- Personal and professional development opportunities
Sicherer Arbeitsplatz
- Job security
Mitarbeiterrabatte
- Discounted BMW & MINI conditions
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- BMW GroupVollzeitnur vor OrtSeniorMünchen
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Senior Vehicle AI Architect Research(m/w/x)
Designing end-to-end AI/data architectures for digital cockpit and driver interaction, implementing SLM/VLM in automotive E/E. Master’s or PhD in AI/ML/CS, proven track record in embedded AI architectures, and SLM/VLM implementation required. 6 weeks annual leave, overtime compensation, Christmas bonus.
Anforderungen
- University degree (Master’s or PhD) in AI, Machine Learning, Data Science, Computer Science or related field
- Several years of experience in AI/data architecture
- Experience in automotive E/E and vehicle AI (plus)
- Proven track record in embedded AI architectures
- Implementation of Small Language Models (SLM) and Vision-Language Models (VLM)
- Proficiency in AI training workflows and model optimisation for deployment (plus)
- Experience with pruning, fine-tuning, quantization, multimodal encoding (plus)
- Familiarity with open-source AI stacks on embedded hardware (NPU)
- Comparison to proprietary frameworks (latency, throughput, energy focus)
- Solid software development and engineering skills
- Leadership experience in agile, cross-functional teams
- Expertise in multi-agent orchestration and conversation-based workflows
Aufgaben
- Design end-to-end AI and data architectures.
- Develop architectural concepts for diverse use cases.
- Address digital cockpit and driver interaction scenarios.
- Provide architectural guardrails to business units.
- Provide architectural guardrails to development teams.
- Drive implementation of scalable AI software platforms.
- Apply state-of-the-art AI research.
- Leverage in-house software stacks.
- Link platform and application development.
- Define interfaces for platforms and applications.
- Integrate new AI trends into platforms.
- Integrate new requirements into platforms.
- Co-create AI use cases across domains.
- Prioritize AI use cases across domains.
- Assess feasibility of AI use cases.
- Assess value of AI use cases.
- Translate use cases into system requirements.
- Translate use cases into hardware requirements.
- Continuously evaluate latest AI developments.
- Implement valuable AI developments.
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Small Language Models (SLM)
- Vision-Language Models (VLM)
- vLLM
- llama.cpp
- ONNX Runtime
- TensorRT
- LiteRT LM
- ExecuTorch
- Llama-Stack
- NPU
- Python
Benefits
Flexibles Arbeiten
- Flexible working hours
Mehr Urlaubstage
- 6 weeks annual leave
Attraktive Vergütung
- Overtime compensation
Boni & Prämien
- Christmas bonus
- Profit sharing
Weiterbildungsangebote
- Personal and professional development opportunities
Sicherer Arbeitsplatz
- Job security
Mitarbeiterrabatte
- Discounted BMW & MINI conditions
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?
- BMW Group
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