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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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