Simulation, Sim to Real (Internship Program)

About the Role

Join Field AI’s Simulation team for a 12-week internship building tools that connect real-world robot deployments with autonomy development. You’ll work alongside simulation and autonomy engineers on a scoped project in simulation tooling, sensor fidelity, real-to-sim workflows, or autonomy evaluation, with opportunities to validate your work against real robot data.

Key Responsibilities

• Work with a mentor to define and deliver a focused simulation project over 12 weeks.
• Develop or improve robotics simulation tools using Python and/or C++.
• Help evaluate and improve simulation fidelity in areas such as sensor modeling, timing, robot behavior, or environment representation.
• Build tools for scenario execution, log replay, regression testing, metrics, or visualization.
• Use field logs, reconstructed environments, or real-world failure cases to create reproducible simulation scenarios.
• Collaborate with simulation and autonomy engineers to investigate differences between simulated and real robot behavior.
• Document your approach and share your results through a final demo and technical handoff.

Your project will focus on a subset of these areas, based on your interests, experience, and team priorities.

Requirements & Tech Stack

• Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field.
• Programming experience in Python and/or C++ through coursework, research, internships, or personal projects.
• Foundational knowledge in one or more areas such as robotics, simulation, computer graphics, physics, or software engineering.
• Experience building and debugging software, including familiarity with Git and Linux.
• Interest in understanding how sensing, timing, physics, and environments affect robot behavior.
• A collaborative mindset, curiosity, and willingness to learn unfamiliar tools.
• Availability for a 12-week internship.

What Will Set You Apart

• Hands-on experience with Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, or another simulation platform.
• Familiarity with ROS2, including sensor messages, coordinate transforms, or recorded robot data.
• Experience working with robot or environment assets such as URDF, USD, meshes, or point clouds.
• Projects involving sensor simulation, physics modeling, 3D reconstruction, or procedural environment generation.
• Experience with automated testing, CI workflows, batch simulation, or data analysis and visualization.
• Experience using real robot data to evaluate simulation accuracy or autonomy performance.
• Participation in robotics research, student teams, competitions, or open-source projects.