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PhD Thesis Safety for e2e ADAS Models(m/w/x)
Developing end-to-end ADAS models with vehicle implementation and rapid prototyping. AI/ML model deployment on high-performance SoCs knowledge required. Collaboration in a 500+ employee automotive tech firm.
Anforderungen
- Master’s degree in computational science, engineering or similar
- Motivation, self-drive, structured mindset, analytical thinking, and collaboration
- AI/ML model deployment on high-performance SoCs knowledge
- End-to-end ADAS model architectures, datasets and trends understanding
- Proficiency in Python and AI/ML frameworks (PyTorch)
- SOTIF and FuSa understanding
- ADAS system development experience across V-model
- Willingness to travel
- Valid driver’s license
Aufgaben
- Contribute to next-generation end-to-end ADAS model development
- Collaborate with peers on full engineering lifecycle
- Conduct early concept and system analysis
- Perform simulation and rapid prototyping
- Implement and demonstrate models in vehicles
- Research end-to-end ADAS model safety
- Design datasets and evaluation metrics
- Conduct scenario-based testing
- Run closed-loop SIL/HIL evaluations
- Analyze test results for technical decisions
- Improve integration and deployment pipelines
- Build technical relationships with Harman and universities
- Align project goals and coordinate joint initiatives
- Strive for co-creation and co-author publications
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- AI/ML
- SoCs
- ADAS
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PhD Thesis Safety for e2e ADAS Models(m/w/x)
Developing end-to-end ADAS models with vehicle implementation and rapid prototyping. AI/ML model deployment on high-performance SoCs knowledge required. Collaboration in a 500+ employee automotive tech firm.
Anforderungen
- Master’s degree in computational science, engineering or similar
- Motivation, self-drive, structured mindset, analytical thinking, and collaboration
- AI/ML model deployment on high-performance SoCs knowledge
- End-to-end ADAS model architectures, datasets and trends understanding
- Proficiency in Python and AI/ML frameworks (PyTorch)
- SOTIF and FuSa understanding
- ADAS system development experience across V-model
- Willingness to travel
- Valid driver’s license
Aufgaben
- Contribute to next-generation end-to-end ADAS model development
- Collaborate with peers on full engineering lifecycle
- Conduct early concept and system analysis
- Perform simulation and rapid prototyping
- Implement and demonstrate models in vehicles
- Research end-to-end ADAS model safety
- Design datasets and evaluation metrics
- Conduct scenario-based testing
- Run closed-loop SIL/HIL evaluations
- Analyze test results for technical decisions
- Improve integration and deployment pipelines
- Build technical relationships with Harman and universities
- Align project goals and coordinate joint initiatives
- Strive for co-creation and co-author publications
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- AI/ML
- SoCs
- ADAS
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
HARMAN Becker Automotive Systems GmbH
Branche
Automotive
Beschreibung
Das Unternehmen ist ein führender Anbieter von Connected Car Systemen und Lifestyle-Audio-Innovationen.
Noch nicht perfekt?
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Intern LLM-enhanced in-vehicle personal assistants(m/w/x)
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