Robotics Software Engineer

ABLE Human Motion’s R&D team is seeking a Robotics Software Engineer to contribute to the development of advanced control and software technologies for our robotic exoskeletons., * Support the transition from an embedded Python system to a ROS2-based architecture, from high-level design to implementation and validation.

• Design and implement new control strategies and functionalities for robotic lower-limb exoskeletons.
• Define and promote ROS2 best practices, including node architecture, communication patterns, lifecycle management, and deployment strategies.
• Contribute to the definition of robust software maintenance and scalability strategies, including modularity, testing, and long-term maintainability.
• Design and implement testing strategies using simulation environments to validate control and system behavior.
• Participate in research projects related to Reinforcement Learning applied to robotic systems, particularly through simulation-based approaches.
• Contribute to code reviews, technical documentation and software development processes.
• Collaborate closely with multidisciplinary teams (control, mechanical design, clinical partners, physiotherapists).

• Completed PhD in Robotics, Control Engineering, Computer Science or a closely related field.
• At least 3 years of professional or research hands-on experience developing robotic systems using ROS 2 beyond just academic/simulation work.
• Strong programming skills in modern C++ and Python.
• Strong understanding of software architecture in robotic systems.
• Experience with Git and modern development workflows, including CI/CD.
• Familiarity with motion-control communication protocols such as CANOpen or EtherCAT, as well as general communication protocols (SPI, I2C, UART, etc.).
• Legal authorisation to work in Spain., * Familiarity with software development in regulated/safety-critical environments (e.g. IEC 62304, ISO 13485).
• Experience working with Raspberry Pi or similar embedded computing platforms.
• Experience using Docker in robotics or embedded systems.
• Hands-on experience with robot simulation environments (e.g., Gazebo, Ignition, or similar).
• Experience applying or researching Reinforcement Learning in robotics.
• A strong Maker / DIY mindset - you enjoy building, experimenting, and bringing ideas to life.
• Opportunity to work on physical robotic systems used in real clinical environments.
• Meaningful work developing technology that directly improves people’s mobility and rehabilitation.
• A technically challenging role at the intersection of robotics, control, and human interaction, with significant influence over architecture, technical direction, and best practices.
• A collaborative, research-driven environment with room to explore new ideas.
• ull-time contract with competitive compensation aligned with experience and responsibilities. And flexible hours, with the option of telework 2 days a week.