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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # System Engineer - **Company:** Neura Robotics GmbH - **Location:** München, Germany - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Systems Engineering, Cyber Security, Middleware, Requirements Management, Robotic Automation Software, Systems Architecture, Systems Integration, Robot Operating System, Information Technology - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/system-engineer-human-neura-robotics-8705570 ## About the Role * Education: MSc or PhD in Robotics, Systems Engineering, Electrical Engineering, Computer Science, or related discipline. 3+ years of experience is a plus. * Track Record: Experience developing complex robotic systems in multidisciplinary environments or other related complex safety-related autonomous systems. Solid understanding of system integration, lifecycle processes, and collaboration with architecture teams. Knowledge of robotics software frameworks and middleware. * Background: Expertise in requirements management and system architecture tools. Experience with model-based systems engineering (MBSE) for system architecture and traceability. Solid understanding of system integration, lifecycle processes, and cross-function collaboration. * Cross Functional Experience: Good grasp of mechatronic components, robotic hardware architecture, sensors and robotics software frameworks and middleware (e.g., ROS/ROS2 or similar). * System Safety Mindset: Experience with functional safety, cybersecurity, and certification standards relevant to robotics and mechatronics (e.g., ISO 13849, ISO 10218, ISO 26262, ISO/SAE 21434). * Personal Driver: Strong analytical, problem-solving, and communication skills in cross-functional teams. Comfortable working in agile or scaled development environments. ## Description * The Bridge: Drive product success by converting customer and product needs into structured, traceable system requirements. Participate in system architecture definition; lead architecture for product lines where applicable. * Collaborate and Align: Allocate requirements to subsystems and define interfaces ensuring alignment across mechanical, electrical, software, controls, AI and perception domains. Drive cross-disciplinary coordination to ensure coherent system behavior and compliance. * Drive Integration: Define and support system verification, validation, and certification strategies, including test plans and acceptance criteria. * Own System Scope: Establish and maintain key systems engineering artifacts, including requirements specs, architecture, interface definitions and traceability documentation. Contribute to technical reviews, design reviews, architecture reviews, and product lifecycle milestones. * End-to-End Execution: Support execution and system integration and performance validation throughout prototype and product phases. Facilitate smooth transition from development to production and field deployment. ## Related Videos - [Model Based Systems Engineering in an Agile Product Development Process](https://www.wearedevelopers.com/videos/68-model-based-systems-engineering-in-an-agile-product-development-process) - [Robots are coming into the wild! 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