Our client is the global R&D organization of a leading global information and communications technology (ICT) solutions provider. For the R&D laboratory in Munich we are now looking for a Senior Functional Safety Expert (m/w/d) to lead and contribute to overall Functional Safety Technology Strategy with innovative solutions and architectures that will make our client a recognized and relevant industry partner, focus on Automotive but not limited to this.
Senior Functional Safety Expert (m/w/d)
Standort: Großraum München
Referenznummer: DETMA19769
Main Responsibilities:
- Lead a team to research future trends of technologies, generate corporate level Autonomous System Safety Assurance Technology Strategy and Roadmap. Identify and formulate real-world safety problems provided by domain experts as machine learning problems, and clarify requirements.
- Analyze the real site data and design/implement novel machine learning algorithms for auto healing network and automotive solution.
- Organize cutting-edge AI Safety related technology research, such as SOTIF, Safety and Security combined engineering. Develop well defined AI safety methodologies and best practices.
- Work closely with a group of domain experts and researchers from different product lines to integrate as well as fine-tune algorithms into complex system platforms. Identify, initiate, manage and direct collaborations with research institutions such as universities and other partners.
- Shape the safety assurance approach to address the functional decomposition of Autonomous Driving (AD), ADAS solutions and smart manufacturing. Foster a forward-looking safety culture focused on proactive engagement and issue prevention.
Requirements:
- Ph.D degree in mathematics, computer science or related areas, have several articles published in the AI top conference or journal. Preferably with a proven background in AI system modeling or formal verification work background is a plus.
- Capability to problem formalizations (problem framing) which model the real-world problem into abstract mathematically precise problem model. Demonstrated ability to achieve goals in an innovative and fast-paced environment.
- 3+ years of relevant experience in the architecture definition, verification, analysis, design and certification of safety elements and systems for Autonomous Driving platforms and ADAS is preferred.
- Deep understandings on details of various supervised/unsupervised learning algorithms and have in-depth understanding of deep neural networks including CNN, RNN, LSTM, GRU etc.
- Expertise on modern systems engineering, hardware/software architectures requirements management practices and associated process management, demonstrate deep familiarity with MBSE and Experience with Modeling language is preferred.
- Familiar w/ Functional Safety standard ISO 26262 and/or IEC 61508 is a plus, documented by a relevant certification authority is a plus.,Good understanding and hands-on experience of related best-known design methods and standards in the industry, such as AUTOSAR, SOTIF, IEC 61508, automotive SPICE.
- Fluent in written and spoken English
- Must be eligible to work in the European Union to be considered for this position.
If you are interested in this attractive opportunity please send us an email with your CV (in English) and/or give us a call.
