Our client is pioneering Level 4 certifiable autonomous driving solutions, tailored for public transport and designed with safety at the core. By leveraging cognitive intelligence and cutting-edge AI based on German research, they create autonomous systems that make logical, explainable decisions in complex road scenarios. Their mission is to enable sustainable, safe, and scalable mobility solutions, ensuring that autonomous technology can connect people everywhere—especially in rural areas and underserved communities.
As a SOTIF Expert, you will play a key role in ensuring the safety of our autonomous systems. You will be responsible for analyzing potential risks, validating safety concepts, and applying your deep knowledge of safety standards to develop systems that meet the highest safety requirements.
Responsibilities:
• Provide in-depth expertise on SOTIF (ISO/PAS 21448), ISO 26262 (Functional Safety), and safety-critical systems in the context of autonomous driving.
• Lead Hazard and Risk Analysis (HARA) processes and SOTIF Safety Goals development to ensure compliance with the highest safety standards.
• Design and implement safety concepts for ADAS/AD systems, focusing on the behavioral safety of autonomous functions.
• Conduct validation and verification of safety-relevant systems through testing in real and simulated environments.
• Identify unknown risks and manage scenarios involving “unknown unknowns” within the context of autonomous driving.
• Work closely with system architects and developers to ensure safety requirements engineering is integrated into the design and development of the autonomous driving system.
• Apply methodologies such as FMEA, FTA, STPA for safety analysis and develop test cases for SOTIF validation.
Requirements:
• Extensive experience with SOTIF (ISO/PAS 21448) and ISO 26262 (Functional Safety) standards.
• Strong background in Hazard and Risk Analyses (HARA) and the creation of SOTIF Safety Goals.
• Expertise in validating safety-critical systems and identifying unknown risks in autonomous driving contexts.
• Experience with tools like DOORS, Polarion for requirements management, and MATLAB/Simulink for modeling and simulation.
• Proficiency in Python and/or C++ for analysis and test automation.
• Familiarity with CAPL, CANoe, and other tools for vehicle communication and testing.
• Experience with simulation tools such as IPG CarMaker, dSPACE, or SCANeR.
• Strong understanding of virtual validation and sensor failure analysis (camera, LiDAR, radar).
• Experience applying FMEA, FTA, and STPA for safety analysis in autonomous driving.
• Excellent communication skills, with a collaborative mindset for working with cross-functional teams.
Note: Familiarity with Model-Based Systems Engineering (MBSE) is a plus.
Why you should join us:
• Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development.
• Enjoy flat hierarchies, an open culture, and fast decision-making processes.
• Collaborate with a skilled and dedicated team eager to share their knowledge and expertise.
•Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives.
• Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district.
