Functional Safety for AI-Based Automotive Feature Development (f/m/div.)

Your contribution to something big:

• Lead the development and implementation of the functional safety case for AI-based automotive features, ensuring compliance with ISO 21488, and ISOPAS8800. 

• Collaborate closely with AI engineers, software developers, system architects, and hardware teams to integrate functional safety requirements into the design and development of automotive systems. 

• Conduct comprehensive hazard analysis and risk assessment (HARA) to identify and mitigate potential safety risks associated with AI-driven automotive features. 

• Develop and maintain detailed safety plans, safety requirements, and safety validation and verification plans specific to automotive applications. 

• Perform safety analysis techniques such as Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and Hazard and Operability Study (HAZOP) tailored to automotive systems. 

• Ensure traceability of safety requirements throughout the development lifecycle, from concept to production. 

• Provide training and guidance to the project team on automotive functional safety principles, best practices within ISO 21488. 

• Stay updated with the latest advancements in automotive functional safety and AI technologies, and apply this knowledge to improve safety processes and outcomes. 

What distinguishes you:

• Strong problem-solving skills and attention to detail, with a focus on automotive applications. 

• Certification in functional safety (e.g., TÜV Functional Safety Engineer) is a plus. 

• Experience with model-based design and verification in the automotive domai Bachelor's or Master's degree in Electrical Engineering, Computer Science, Automotive Engineering, or a related field. 

• Minimum of 5-7 years of experience in functional safety engineering within the automotive industry. 

• In-depth understanding of ISO ISO21488 and ISO8800 and its application to automotive systems. 

• Experience with AI and machine learning technologies and their integration into automotive safety-critical systems. 

• Proficiency in automotive safety analysis techniques (FMEA, FTA, HAZOP).  

• Experience with model-based design and verification in the automotive domain. 

• Knowledge of automotive software development lifecycle and agile methodologies. 

• Experience with safety-critical automotive hardware design and verification.