A leading engineering firm in Munich is looking for a skilled professional to collaborate on implementing ISO 21448 standards. The ideal candidate will have a strong background in automotive systems and relevant engineering fields, as well as experience in safety analysis methods. Key tasks include conducting safety evaluations and developing functional modifications in automotive technologies.
Qualifikationen
Proven experience applying ISO 26262, ISO 21448, and related industry standards.
Strong expertise in automotive systems and systems engineering.
Hands-on experience in simulation, verification, and validation processes.
Aufgaben
Collaborate with cross-functional development teams to ensure the implementation of ISO 21448 standards.
Conduct hazard identification and risk evaluation to identify and mitigate safety concerns.
Establish Risk Acceptance Criteria in alignment with industry best practices.
Kenntnisse
ISO 26262
ISO 21448
automotive systems
Python/R programming
data analytics
risk evaluation
machine learning
Ausbildung
Bachelor's or Master's degree in Computer Science, Mechanical Engineering, or Electrical Engineering
Jobbeschreibung
Your tasks
Collaborate with cross-functional development teams to ensure the implementation of ISO 21448 standards
Conduct hazard identification and risk evaluation to identify and mitigate safety concerns
Establish Risk Acceptance Criteria in alignment with industry best practices
Define meaningful metrics and perform statistical performance evaluations to support safety objectives
Conduct root cause analysis for potential triggering conditions (TC) and functional insufficiencies (FI)
Develop and implement effective functional modifications in collaboration with stakeholders
Perform trade-off analyses to evaluate and prioritize potential safety measures
Conduct safety analysis using methods such as FTA, FMEA, DFA, and STPA
Lead SOTIF-related verification and validation (V&V) activities
Your profile
Bachelor's or Master's degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field
Proven experience applying ISO 26262, ISO 21448, and related industry standards
Strong expertise in automotive systems and systems engineering
Hands-on experience in simulation, verification, and validation processes
Advanced knowledge of data analytics and statistical reasoning techniques
Proficiency in Python/R programming for data analysis and automation
Familiarity with autonomous vehicle (AV) technologies, including machine learning (ML)
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