Advanced Automotive Safety Engineer
Vor 6 Tagen
Advancing Vehicle Safety with Data-Driven Approaches
We are seeking an experienced Advanced Automotive Safety Engineer to join our team in Munich, Germany.
The successful candidate will be responsible for:
- Fostering innovation and pushing the boundaries of AI-based safety through data-driven methodologies.
- Developing SOTIF safety argumentation concepts using statistical methods and probabilistic frameworks.
- Analyzing real-world data to generate evidence supporting safety argumentation.
- Determining effective verification and validation measures to strengthen data-driven safety arguments.
- Staying informed on industry standards, regulations, and best practices to influence ADS solutions.
To succeed in this role, you will require:
- A Master's or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent experience in automotive system/software safety engineering.
- Extensive experience in data analytics, statistical methods, and probabilistic frameworks.
- Proficiency in Bayesian methods, Monte Carlo simulations, sensitivity analysis, or similar approaches.
- Prior experience in automotive safety engineering, including defining safety concepts and working with ISO 26262, ISO 21448, and safety analysis methods such as HAZOP, HARA, FMEA, FTA, and STPA.
This is a full-time position offering a competitive salary range of €80,000 - €110,000 per annum, commensurate with experience. If you are passionate about advancing vehicle safety and have the necessary skills and qualifications, please submit your CV for consideration.
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