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Senior Embedded AI Developer(m/w/x)
Deploying embedded AI models for automated driving and connected cars. Deep expertise in embedded AI, neural networks, and hardware/software co-design required. 6 weeks annual leave, overtime compensation.
Requirements
- University degree in electrical engineering, computer science, data science, AI, mathematics, physics, or comparable qualification
- Extensive professional experience in AI/ML model development, implementation, and operation in industrial or commercial environment
- Strong expertise in embedded AI, neural network architectures, quantisation, hardware- and quantisation-aware training, deployment formats, and cross-platform portability
- In-depth expert knowledge of hardware/software co-design for ML systems, including cross-layer optimisation, architecture search, benchmarking, and neural accelerator design
- Proven success transferring ML models from research/prototype to productive, value-creating applications on embedded targets
- Comprehensive expertise in modern ML methods, deep learning, multimodal models, end-to-end learning, transformer architectures, and practical limitations
- Very good English skills, written and spoken, for international work; German skills desirable
Tasks
- Own the full lifecycle of machine learning models
- Concept and experiment with machine learning models
- Train and validate machine learning models
- Deploy models on automotive systems
- Optimize AI models for embedded platforms
- Analyze and benchmark AI model performance
- Improve runtime, compute, and memory efficiency
- Apply compression techniques to AI models
- Enable high-performance AI under constraints
- Collaborate with specialists on hardware/software co-design
- Ensure functional correctness and safety
- Ensure deterministic real-time behavior
- Translate machine learning research into applications
- Design scalable MLOps optimization pipelines
- Operate MLOps optimization pipelines
- Enable training across embedded targets
- Enable deployment across embedded targets
- Enable inference across embedded targets
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Diverse Work
- Challenging projects
Learning & Development
- Personal and professional development opportunities
Job Security
- High job security
Corporate Discounts
- Discounted BMW & MINI conditions
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Senior Embedded AI Developer(m/w/x)
Deploying embedded AI models for automated driving and connected cars. Deep expertise in embedded AI, neural networks, and hardware/software co-design required. 6 weeks annual leave, overtime compensation.
Requirements
- University degree in electrical engineering, computer science, data science, AI, mathematics, physics, or comparable qualification
- Extensive professional experience in AI/ML model development, implementation, and operation in industrial or commercial environment
- Strong expertise in embedded AI, neural network architectures, quantisation, hardware- and quantisation-aware training, deployment formats, and cross-platform portability
- In-depth expert knowledge of hardware/software co-design for ML systems, including cross-layer optimisation, architecture search, benchmarking, and neural accelerator design
- Proven success transferring ML models from research/prototype to productive, value-creating applications on embedded targets
- Comprehensive expertise in modern ML methods, deep learning, multimodal models, end-to-end learning, transformer architectures, and practical limitations
- Very good English skills, written and spoken, for international work; German skills desirable
Tasks
- Own the full lifecycle of machine learning models
- Concept and experiment with machine learning models
- Train and validate machine learning models
- Deploy models on automotive systems
- Optimize AI models for embedded platforms
- Analyze and benchmark AI model performance
- Improve runtime, compute, and memory efficiency
- Apply compression techniques to AI models
- Enable high-performance AI under constraints
- Collaborate with specialists on hardware/software co-design
- Ensure functional correctness and safety
- Ensure deterministic real-time behavior
- Translate machine learning research into applications
- Design scalable MLOps optimization pipelines
- Operate MLOps optimization pipelines
- Enable training across embedded targets
- Enable deployment across embedded targets
- Enable inference across embedded targets
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Diverse Work
- Challenging projects
Learning & Development
- Personal and professional development opportunities
Job Security
- High 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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