Robotics Simulation & Digital Twin Engineer

Optimal Solution Company; Warren (MI); On-site; USD 110,000 - 160,000; Full time

Job summary

Optimal Solution Company in Warren, MI seeks an experienced robotics simulation engineer to build and validate digital twins of robotic workcells using NVIDIA Isaac Sim and Omniverse. You will develop Python-based simulation workflows and integrate real robot data.

The role focuses on connecting CAD data, sensors, and production parameters to physics-based models, evaluating welding, material handling or tool motion, and communicating results to engineering teams.

Qualifications

• Experience building, integrating, or validating manufacturing digital twins using NVIDIA Isaac Sim, Omniverse, or equivalent.
• Strong Python programming skills for developng maintainable simulation workflows and data-processing tools.
• Experience simulating robotic workcells with joints, trajectories, tool paths and timestamps.
• Experience connecting real-time or recorded robot data to simulation environments, preferably FANUC.
• Understanding robotic workcells, fixtures, tooling, sensors and manufacturing-process data in a digital twin context.
• Ability to study, reproduce, or analyze manufacturing behavior with simulation models.
• Experience comparing simulation results with real data and refining models accordingly.
• Ability to explain simulation assumptions, data requirements, limitations, and results to engineering and manufacturing stakeholders.

Skills

Python programming

Robotics simulation

Industrial digital twin

Data-processing workflows

Real-time data integration

Stakeholder communication

Education

Bachelor's or master's degree in robotics or related field

Tools

NVIDIA Isaac Sim

NVIDIA Omniverse

OpenUSD/USD

Gazebo

RoboGuide

Job description

Basic Qualifications

• Professional experience building, integrating, or validating manufacturing or industrial digital twins of robotic workcells, production equipment, or physical manufacturing processes using NVIDIA Isaac Sim, Omniverse, or a comparable platform.
• Strong Python programming skills, with experience developing maintainable simulation workflows, extensions, modules, tools, or data-processing applications using simulation APIs.
• Experience working with robotic workcell simulation, including joint positions, velocities, trajectories, coordinate frames, tool paths, and timestamps.
• Experience connecting real-time or recorded robot data to simulation environments, preferably from industrial robots such as FANUC.
• Understanding of robotic workcells, fixtures, tooling, sensors, production equipment, and manufacturing-process data within an industrial or manufacturing digital twin.
• Experience using simulation and digital-twin models to study, reproduce, or analyze physical manufacturing behavior, such as welding, material interaction, tool motion, or other manufacturing processes.
• Experience comparing simulation results with real robot, sensor, or process data and refining simulation models based on observed differences.
• Ability to explain simulation assumptions, data requirements, limitations, and results to engineering and manufacturing stakeholders.

Preferred Qualifications

• Hands-on experience building manufacturing or robotic workcell digital twins using NVIDIA Isaac Sim or Omniverse, including scene creation, asset integration, sensor configuration, extensions, custom modules, or automated simulation workflows.
• Experience with NVIDIA Omniverse Kit, Isaac Sim Python APIs, OpenUSD, USD asset composition, and simulation-ready 3D content.
• Experience integrating robot telemetry, CAD models, fixtures, tooling, equipment states, process parameters, and sensor data into a manufacturing digital twin.
• Experience streaming or replaying industrial robot telemetry in a workcell or manufacturing digital twin, including FANUC robot data or similar systems.
• Experience simulating manufacturing-process behavior and data, particularly welding, thermal behavior, material interaction, tool motion, or process quality.
• Familiarity with Simufact or comparable manufacturing-process simulation software and its data outputs.
• Experience modeling or validating cameras, encoders, force/torque sensors, or other sensors used in robotic workcells.
• Experience with C++ for simulation extensions, performance-sensitive components, or integration with existing engineering software.
• Experience with robot simulation tools such as FANUC RoboGuide, Siemens Process Simulate, Gazebo, Visual Components, RoboDK, or equivalent platforms.

Helpful Domain Experience

• Practical experience with FANUC robots, robot controllers, teach pendant programs, robot logs, or industrial robot data formats.
• Experience with manufacturing applications such as welding, fastening, dispensing, assembly, material handling, inspection, or dimensional measurement.
• Working knowledge of physical factors affecting manufacturing simulation, including heat input, material behavior, tool position, operating speed, and process variation.
• Experience creating synthetic test cases, replayable simulation scenarios, or virtual commissioning workflows using real manufacturing data.
• Familiarity with GPU-based simulation. Advanced GPU parallelization and performance engineering are not required for this role.
• Experience with digital-twin lifecycle practices, including asset configuration, calibration, validation, versioning, and ongoing maintenance.

Education Qualifications

• Bachelor's or master's degree in robotics, mechanical engineering, manufacturing engineering, controls, computer science, physics, or a related field.