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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.
Requirements
- 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
Tasks
- 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.
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Small Language Models (SLM)
- Vision-Language Models (VLM)
- vLLM
- llama.cpp
- ONNX Runtime
- TensorRT
- LiteRT LM
- ExecuTorch
- Llama-Stack
- NPU
- Python
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal and professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
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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.
Requirements
- 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
Tasks
- 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.
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Small Language Models (SLM)
- Vision-Language Models (VLM)
- vLLM
- llama.cpp
- ONNX Runtime
- TensorRT
- LiteRT LM
- ExecuTorch
- Llama-Stack
- NPU
- Python
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal and professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
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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