Quick overview
Job description
About the Role
What You'll Get To Do
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Work with a mentor to define and deliver a focused simulation project over 12 weeks.
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Develop or improve robotics simulation tools using Python and/or C++.
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Help evaluate and improve simulation fidelity in an area such as sensor modeling, timing, robot behavior, or environment representation.
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Build tools for scenario execution, log replay, regression testing, metrics, or visualization.
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Use field logs, reconstructed environments, or real-world failure cases to create reproducible simulation scenarios.
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Collaborate with simulation and autonomy engineers to investigate differences between simulated and real robot behavior.
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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.
What You Have
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Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field.
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Programming experience in Python and/or C++ through coursework, research, internships, or personal projects.
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Foundational knowledge in one or more areas such as robotics, simulation, computer graphics, physics, or software engineering.
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Experience building and debugging software, including familiarity with Git and Linux.
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Interest in understanding how sensing, timing, physics, and environments affect robot behavior.
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A collaborative mindset, curiosity, and willingness to learn unfamiliar tools.
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Availability for a 12-week internship.
The Extras That Set You Apart
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Hands-on experience with Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, or another simulation platform.
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Familiarity with ROS2, including sensor messages, coordinate transforms, or recorded robot data.
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Experience working with robot or environment assets such as URDF, USD, meshes, or point clouds.
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Projects involving sensor simulation, physics modeling, 3D reconstruction, or procedural environment generation.
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Experience with automated testing, CI workflows, batch simulation, or data analysis and visualization.
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Experience using real robot data to evaluate simulation accuracy or autonomy performance.
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Participation in robotics research, student teams, competitions, or open-source projects.
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