Sr. Vehicle Modelling Engineer, Applied AI Systems
Tasks
- Apply fault analysis methods
- Author requirements and test cases using systems engineering methods
- Build and maintain multi fidelity plant models
- Conduct STPA for safety analysis
- Correlate digital twin models with vehicle dyno and fleet data
- Deploy LLM pipelines for requirement drafting
- Deploy semantic search and RAG for engineering artifacts
- Develop and run co simulation environments
- Document AI augmented systems engineering playbooks
- Implement CI/CD pipelines for test automation
- Integrate AI assistants with GitLab via APIs
- Perform analyses and design reviews
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | ARXML | Agent Frameworks | CAN | CI/CD | Co-simulation | DBC | DFEMA | Digital Twin | FMI | FMU | Fault Tree | Fault Tree Analysis | GitLab | Julia | LLM | Langchain | Llamaindex | Microservices | Modelica | OpenModelica | Python | RAG | RequiTest | STPA | Semantic Search | Simulink | Structured reasoning | Tree analysis
Education
Regions
Countries
States
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