6 дней назад
Simulation, Sim to Real - Internship Program
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Simulation, Sim to Real - Internship Program (Robotics/Embodied AI): Developing and improving robotics simulation tools and reproducible scenarios for real-world robot deployments with an accent on sensor modeling, timing, physics, and environment representation. Focus on comparing simulated and real robot behavior, building regression and visualization tools, and evaluating simulation fidelity using field data.
Location: On-site in Irvine, California, United States
Company
develops risk-aware, reliable, field-ready embodied AI systems for real robots, sensors, and deployments.
What you will do
- Define and deliver a focused simulation project over a 12-week internship with mentor guidance.
- Develop and improve robotics simulation tools using Python and/or C++.
- Evaluate simulation fidelity across sensor modeling, timing, robot behavior, and environment representation.
- Build tools for scenario execution, log replay, regression testing, metrics, and visualization.
- Create reproducible simulation scenarios from field logs, reconstructed environments, and real-world failure cases.
- Investigate differences between simulated and real robot behavior with simulation and autonomy engineers, then document and present the results.
Requirements
- 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++.
- Foundational knowledge of robotics, simulation, computer graphics, physics, or software engineering.
- Experience building and debugging software, with familiarity with Git and Linux.
- Interest in how sensing, timing, physics, and environments affect robot behavior.
- Availability for a 12-week, on-site internship in Irvine, California.
Nice to have
- Experience with Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, or another simulation platform.
- Familiarity with ROS2, sensor messages, coordinate transforms, or recorded robot data.
- Experience with URDF, USD, meshes, point clouds, sensor simulation, physics modeling, 3D reconstruction, or procedural environment generation.
- Experience with automated testing, CI workflows, batch simulation, data analysis, or visualization.
- Robotics research, student team, competition, or open-source project experience.
Culture & Benefits
- Work with real robots, sensors, and field deployments.
- Projects are tested on hardware and improved through real-world deployments.
- Collaborate with simulation and autonomy engineers in Irvine's robotics ecosystem.
- Present the final work through a technical demo and handoff.
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