Systems Engineer

Who you are

• 5+ years of experience in Systems Engineering or a related technical role, preferably in the automotive or high-reliability sensor industry
• Hands-on technical understanding and experience with sensor technology and its application in autonomous systems (Lidar experience preferred)
• Expertise in the execution and documentation of systems processes related to ASPICE, Functional Safety (ISO 26262), Cybersecurity (ISO/SAE 21434) and SOTIF (ISO 21448)
• Experience with Requirements Management Software (e.g., DOORS, Polarion, JAMA)
• Experience with Model-Based Systems Engineering (MBSE), such as SysML modeling, is desirable

What the job involves

• We are seeking an experienced Systems Engineer to be a key contributor in the robust development and lifecycle maintenance of our next-generation Lidar sensor products
• This role requires the practical application of detailed systems engineering processes to ensure that design and implementation adhere to stringent automotive standards
• You will be responsible for implementing and maintaining work products for ASPICE, Functional Safety (ISO 26262), and Cybersecurity (ISO/SAE 21434) compliance, ensuring requirements traceability and robust analysis
• This position requires experience in sensor technology, the use of systems engineering tools and a strong background in automotive systems standards
• Maintain the product technical requirements and detailed system design documentation using a formal management tool
• Perform detailed architectural decomposition and derive clear, verifiable component-level requirements
• Utilize system modeling to conduct technical trade-off studies, perform design analysis, and validate architectural decisions
• Implement and document the Functional Safety Concept (ISO 26262) and the Cybersecurity Concept (ISO/SAE 21434), including necessary safety/security analyses (FMEA, FTA, TARA, etc.)
• Act as the technical systems liaison, ensuring requirements traceability, verification planning, and interface consistency across disciplines