Simulation & Digital Twin Engineer

• Analyze engineering and manufacturing requirements
• Design, develop, test, maintain, and debug simulation, Digital Twin, and Physical AI software for intelligent automation and robotics
• Develop physics-based simulation environments, virtual equipment and robot models, digital assets, reusable software components, and simulation workflows
• Develop and integrate simulation capabilities for robotics, perception, vision, sensors, motion, manipulation, autonomous systems, and synthetic data generation
• Build simulation-to-real and real-to-simulation workflows to improve virtual/physical system correlation
• Develop reusable APIs, libraries, plugins, data pipelines, and integration frameworks
• Participate across the development lifecycle, from programming and simulation modeling through software architecture, system integration, and Digital Twin platform design
• Collaborate with software, AI, robotics, mechanical, electrical, controls, and automation engineers
• Apply object-oriented programming, modular architectures, version control, automated testing, CI/CD, APIs, and reusable software libraries
• Evaluate emerging technologies in Physical AI, robotics simulation, Digital Twin, computer vision, synthetic data, and AI-enabled automation
• Provide technical leadership and mentor engineers through architecture reviews, code reviews, simulation methodology, and software design guidance

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related technical field
• Minimum 5+ years of relevant experience
• Strong programming skills in Python and/or C++
• Solid understanding of object-oriented software development
• Experience developing simulation, robotics, Digital Twin, or automation software
• Understanding of 3D simulation, physics-based modeling, robot kinematics, motion, sensors, or perception systems
• Experience with Git, APIs, modular software architecture, automated testing, and CI/CD
• Strong analytical and problem-solving skills
• Ability to translate physical engineering problems into software and simulation solutions
• Ability to work across software, robotics, automation, controls, mechanical, and electrical engineering disciplines
• Preferred: experience with Physical AI, robotics simulation, autonomous systems, computer vision, or synthetic data generation
• Preferred: knowledge of sim-to-real and real-to-sim workflows, including model calibration and validation
• Preferred: experience developing reusable simulation assets, software libraries, plugins, APIs, or Digital Twin frameworks
• Preferred: familiarity with robot manipulation, path planning, sensor simulation, perception pipelines, or AI/ML integration
• Preferred: experience integrating simulation environments with robots, automation equipment, cameras, sensors, PLC/control systems, or manufacturing systems
• Preferred: knowledge of 3D asset pipelines, CAD-to-simulation workflows, physics engines, and industrial communication protocols
• Preferred: ability to evaluate emerging technologies and convert them into scalable engineering solutions

• Option to work remotely
• Pay and benefit information available by country
• Equal opportunity employment