Senior Engineer - Decision Making; m​/f​/d

Position Overview

This role focuses on the design and development of advanced decision-making frameworks for autonomous systems. It combines traditional logic-based approaches with modern machine learning techniques to create intelligent, adaptive behavior in complex environments. The position requires building scalable solutions that ensure reliable, interpretable, and efficient system behavior across a range of operational scenarios.

• Develop and refine decision-making architectures that combine rule-based logic with learning-driven models to handle complex and dynamic situations
• Build high-level behavior planning and mission management frameworks to support autonomous system operations
• Design adaptive deliberation mechanisms capable of adjusting to different system dynamics and environmental conditions
• Implement and maintain comprehensive testing strategies, including unit, functional, and integration tests, ensuring system robustness and code quality
• Evaluate and benchmark different decision-making strategies, comparing classical approaches with machine learning-driven methods in terms of safety, performance, and reliability
• Integrate decision modules seamlessly with broader system components, ensuring consistent behavior across the full stack
• Produce clear technical documentation to support development, deployment, and knowledge transfer
• Contribute to implementation using programming languages such as C++ and Python within robotics-oriented frameworks
• Participate in real-world testing to validate system performance and refine decision logic

• Strong background in decision-making algorithms for autonomous or robotic systems
• Deep understanding of frameworks such as behavior trees, finite state machines, utility-based systems, and planning approaches (e.g., PDDL)
• Familiarity with both classical decision logic and modern data-driven or machine learning-based techniques
• Experience working with autonomous platforms, including multi-agent or multi-vehicle environments
• Proficiency in debugging, profiling, and optimizing performance-critical applications (e.g., using tools like gdb, valgrind, or similar)
• Solid programming skills in C++ and/or Python
• Experience with Linux-based systems, version control (Git), containerization (Docker), and modern development workflows

• Degree in Robotics, Computer Science, Engineering, or a related technical discipline (Bachelor’s, Master’s, or PhD)
• Strong analytical and problem-solving skills, with attention to detail in complex system design
• Ability to communicate technical concepts clearly and collaborate effectively across disciplines
• Self-driven mindset with the ability to manage complex tasks and deliver results in dynamic environments
• Commitment to staying current with advancements in autonomous systems and artificial intelligence

• Systems thinker capable of balancing performance, safety, and interpretability
• Comfortable working across both algorithm design and real-world system integration
• Proactive in identifying improvements and driving innovation in decision-making architectures
• Capable of translating theoretical models into reliable, production-ready solutions