**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.**
At **ARQUIMEA Research Center (ARC)**,** part of **ARQUIMEA** **,** we are at the forefront of innovation in robotics, leveraging a model-based design philosophy to integrate mechanical, electrical, control, and electromagnetic systems into a unified development pipeline. Our multidisciplinary team is driven by simulation-first engineering practices, enabling rapid iteration, high fidelity prototyping, and system-level optimization
We are looking to expand our team with a **Robotics Simulation Engineer** who is passionate about creating digital ecosystems for advanced robotic systems.
As a Robotics Simulation Engineer, you will play a key role in developing and maintaining high-fidelity simulation environments for our robotic platforms. You will be responsible for incorporating our proprietary actuator digital twin into leading simulation platforms such as **MuJoCo, Isaac Sim, Gazebo**, and similar tools. Your work will directly impact the performance evaluation, design validation, and control development across the full lifecycle of robotic systems.
**Tasks to be performed**:
- Integrate and validate the company’s proprietary actuator digital twin into physics-based simulators (MuJoCo, Isaac Sim, Gazebo, etc.).
- Develop and maintain high-fidelity simulation models of full robotic platforms, with attention to multi-domain fidelity (mechanical, electrical, control).
- Collaborate with mechanical, electrical, control, and software engineers to co-develop and validate cross-domain simulation environments.
- Contribute to the development of model-based workflows for simulation-based verification, virtual commissioning, and hardware-in-the-loop (HIL) scenarios.
- Support the development and deployment of control algorithms within the simulation environment.
- Participate in agile planning meetings and contribute to the agile-based work management tools.
- Bachelor’s, Master’s, or Ph.D. in Robotics or a related field, or industry experience equivalent.
- Minimum 3 years of experience in robotic simulation and modeling.
- Proficiency in at least two robotic simulation environments (e.g., MuJoCo, Isaac Sim, Gazebo, Webots, CoppeliaSim).
- Solid understanding of rigid-body dynamics, kinematics, control systems, and sensor modeling.
- Strong experience in integrating physical actuator or system models into simulation platforms.
- Programming experience in Python and C++.
- Familiarity with ROS/ROS2-based system integration.
- You must enjoy working in a research-oriented environment.
- Data-driven, analytical mindset. Open to challenges.
- Excellent written, verbal and communication skills focused on teamwork and collaboration
- Proficient in English, both oral and written. Spanish is a plus.
- We are also looking for a good person, someone who thrives working in multidisciplinary and ever-changing environments.
**Additionally, we will also value experience in the following areas**:
- Exerience with model-based systems engineering (MBSE) or tools like Simulink, Modelica, or SysML.
- Background in working with digital twins, especially for actuators or sensors.
- Exposure to hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing workflows.
- Familiarity with GPU-based simulation acceleration (e.g., Isaac Sim on Omniverse).
- Experience with real-world robotic systems and transitioning from simulation to deployment.
**Think Big, Do the Job & Enjoy Life**: