Robotics Software Engineer
Arquimea
| Company | Arquimea |
| Category | Engineering |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 24 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (teamtailor) |
Description
ARQUIMEA , we are a technology company operating globally and providing innovate solutions and products in highly demanding sectors. Our areas of activity are Aerospace, Defense & Security, Big Science, Biotechnology and Fintech. Main function and scope: We are looking for Robotics Software Engineer with strong hands-on experience in software development for robotic systems, complex mechatronic platforms or cyber-physical systems. The successful candidate will join the Robotics Platform Team, working in multidisciplinary R&D and product-oriented projects involving highly dynamic robotic platforms, advanced actuation technologies, simulation, control, sensing and software tooling operating in technically demanding environments. This role is focused on developing, integrating, testing and maintaining the software ecosystem foundations that allow robotic platforms to be designed, simulated, built, controlled, validated and used effectively. The candidate will work across platform software, system integration, simulation, high-level control, testing, developer tooling and user-facing software interfaces, contributing both to internal R&D platforms and to the software ecosystem used by internal teams, partners and customers. The Robotics Platform Team acts as an internal user and validation partner for ARQUIMEA's actuator, motor, embedded software and control technologies. The role therefore involves a tight feedback loop between real robotic platform development and the evolution of the underlying actuation ecosystem, with the goal of making these technologies robust, usable and valuable for roboticists working on real systems. The candidate is not expected to be a deep expert in every robotics area. We are looking for a broad robotics software profile with strong engineering fundamentals, practical systems intuition and one or more stronger technical axes, such as platform software, high-level control, simulation, testing, perception integration, tooling or release-oriented software development. Depending on project needs, the role may involve work on high-level robot control or behaviour generation, including classical control, model-based control, MPC, reinforcement learning, locomotion or manipulation, as well as integration of perception, localization, mapping, navigation, sensing or autonomy capabilities developed by specialized research teams. Core Functions: Develop and maintain software for robotic platforms, including control interfaces, platform bring-up, hardware abstraction, system integration, testing tools and validation workflows. Contribute to reusable software components for highly dynamic robotic systems and physical human-robot interaction applications. Support the development, integration and validation of high-level robot control or behaviour-generation modules, including locomotion, manipulation, model-based control, MPC, reinforcement learning or classical control approaches when relevant. Integrate robotic subsystems across actuators, embedded devices, sensors, communications, simulation tools, control software and higher-level applications. Work with real and virtual robotic systems, using simulation and digital-twin-based workflows to accelerate development, debugging, testing and validation. Contribute to platform-level testing, experimental validation, data logging, diagnostics, troubleshooting and performance evaluation on real hardware. Develop and maintain ROS 2 packages, launch files, configuration files, interfaces and integration layers where applicable. Support software interfaces, APIs, examples, tutorials and tools that make the robotics ecosystem easier to use by internal teams, research collaborators, partners and customers. Collaborate with perception, localization, mapping, navigation or autonomy teams when bringing research outputs into robotic platform software stacks. Apply strong software engineering practi
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