Robotics Architect (Modelling & Simulation)

In this role, you will contribute to long-term, high-impact initiatives in collaboration with a globally recognized industry leader, focused on advancing multi-fleet management systems and enhancing the performance of outdoor autonomous vehicles.

You will operate at the intersection of simulation and real-world application, using digital twins and advanced modeling techniques to design, optimize, and scale intelligent systems. This environment embraces constant change, encourages experimentation, and values proactive problem-solving. Beyond building new capabilities, you’ll also play a key role in retrofitting existing systems with cutting-edge intelligence, driving tangible impact in deployed technologies.

Responsibilities

• Work with digital twins of real-world systems to analyze and optimize performance
• Lead process modeling and optimization initiatives across robotics and industrial systems
• Design and develop solutions for complex, multidisciplinary robotics environments
• Build both rapid prototypes and scalable, production-ready solutions
• Test and validate robotic systems in both simulated and real-world settings
• Design automated robotic systems to improve production efficiency and precision
• Research and apply modern approaches in robotics, including control systems, motion planning, sensing, and decision-making
• Contribute to the performance optimization of robotic components and industrial processes

• Expertise in C++, Python, or Julia with at least 6 years of experience in software development, including system programming and real-time systems
• Strong experience in modeling continuous, discrete, and event-driven systems with proven results
• Proficiency with simulation tools such as Matlab/Simulink, Mathematica, Modelica, Ansys, or OpenFOAM
• Hands-on experience with physics-based simulation platforms such as Gazebo, Nvidia Isaac, or V-REP
• Solid understanding of numerical methods, concurrent programming, and component-based architecture
• Demonstrated ability to design and implement complex, efficient algorithms
• Knowledge of control theory, estimation methods, and optimization techniques for linear and nonlinear systems
• Experience in robotics system development and deployment
• Strong familiarity with Unix/Linux environments
• Understanding of distributed control systems
• Experience with testing practices, CI/CD pipelines, and system monitoring
• Strong collaboration, communication, and teamwork skills