About The Role In this role, you will design and deliver advanced robotics, physical AI, and multi-fleet management solutions that bridge simulation and real-world industrial environments. You will contribute to the development of intelligent capabilities for outdoor vehicles, working with digital twins, autonomous systems, and existing equipment to drive innovation, operational efficiency, and scalable deployment in collaboration with a globally recognized industry leader.

Responsibilities Design and develop robotics and industrial software solutions using digital twins and physical hardware systems to enable intelligent automation outcomes in collaboration with engineering teams

Lead process modeling and optimization initiatives for continuous, discrete, and event-driven systems to improve performance, reliability, and operational efficiency across industrial environments

Drive the development of prototypes and production-ready robotics solutions while collaborating with cross-functional stakeholders to accelerate delivery and business value

Integrate AI-driven and intelligent capabilities into existing industrial equipment to enhance functionality and operational effectiveness

Lead testing, validation, and deployment activities across simulation and real-world environments to ensure solution quality and reliability

Define and implement automated robotic systems that improve production efficiency, precision, and overall operational performance

Contribute expertise in control systems, motion planning, sensing, and decision-making to guide successful project execution

Mentor engineers,



conduct technical reviews, and influence architectural decisions while promoting engineering excellence and alignment with project objectives Requirements Advanced experience with C++, Python, or Julia software development, including system programming and real-time systems (5+ years required)

Proven experience designing and implementing robotics or industrial automation solutions

Strong knowledge of continuous, discrete, and event-driven system modeling methodologies

Advanced experience with simulation frameworks such as MATLAB/Simulink, Mathematica, Modelica, Ansys, or OpenFOAM

Advanced experience with physics-based simulation tools, including Gazebo, NVIDIA Isaac, or V-REP

Strong knowledge of control theory, estimation, optimization, and robotics algorithms for linear and nonlinear systems

Advanced experience with distributed control systems, Unix/Linux environments, software testing practices, CI/CD pipelines, and system monitoring approaches

Proven skills in solving complex robotics challenges through efficient and scalable solution design

Proven skills in leading technical initiatives, mentoring engineers, and collaborating effectively with cross-functional stakeholders SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

📌 Lead Robotics Engineer (Modelling & Simulation) (Colombia)
🏢 SoftServe
📍 Colombia