(EU Citizenship and Relocation required) Building on our long-standing expertise in advanced production technologies, Rosendahl Nextrom is expanding into AI-driven robotics with a forward-thinking research and engineering team dedicated to developing adaptive industrial robots—an advancement that will transform industrial automation, manufacturing, logistics, and beyond. Our mission is to create intelligent, adaptable robotic systems that seamlessly integrate into real-world production environments, combining cutting-edge AI research with practical robotics to enable robots to perceive, learn, and act with human-like flexibility. As this is a strategic new direction, you will have the opportunity to shape not only the technology but also the business models that will define the future of smart manufacturing. As a Robotics Software Engineer, you will play a central role in designing, developing, and deploying robust robotic software architectures. You’ll collaborate across robotics, AI, and control engineering domains to build systems that perceive their environment, plan complex motions, and execute tasks safely and autonomously. Tasks Design, implement, and test ROS2-based robotic software in C++ and Python for real-time control and motion coordination. Integrate AI and perception modules into robotic systems. Develop and maintain simulation environments and hardware-in-the-loop test setups for validation and continuous integration. Collaborate with cross-functional teams on motion planning, SLAM and sensor fusion. Support deployments and testing on humanoid and industrial robotic platforms. Diagnose, debug, and improve robotic systems to ensure reliable operation. Requirements Bachelor’s or Master’s degree in Robotics, Mechatronics, Computer Science, Electrical or Mechanical Engineering, or a related field. 2 years of hands-on experience developing and deploying robotics software. Proficiency with ROS2, C++, and Python on Linux-based systems. Experience working with robotic simulators (e.g., Isaac Sim, MuJoCo, PyBullet, Gazebo ). Familiarity with real-time control, sensor integration, and hardware bring-up. Strong debugging and system integration skills. EU citizenship and willingness to relocate to Austria (Graz / Pischelsdorf area). Fluent in English. Nice to Have Experience with AI-driven control or learning-based robot behaviors (reinforcement/imitation learning). Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (Docker, distributed training). Experience deploying robots in industrial settings. Understanding of embedded systems and edge computing for robotics. Valid driver’s license (Category B). Benefits What We Offer A startup-like environment within a global engineering leader — ideal for engineers who want both autonomy and impact. Direct access to state-of-the-art humanoid and industrial robotic platforms and high-performance computing resources. Competitive compensation and benefits, including relocation support. Flexible working hours and hybrid/remote work possibilities. Continuous learning and career development opportunities, including conferences, training, and mentorship. A collaborative, international environment that values innovation and initiative. Compensation We will determine your salary together with you depending on your expertise. The Austrian collective agreement for the metalworking industry serves as a basis, with a minimum gross salary of €4,492.58 per month (full-time, all-inclusive basis). If you’re passionate about building intelligent robots that can work alongside humans and transform industries — we’d love to hear from you.