Robotics Simulation Intern: Bridge Real & Virtual Worlds

Lever, Inc.; Irvine, Northern (CA, KY); Hybrid; USD 41,000 - 55,000; Full time

Job summary

FieldAI in Irvine, California is seeking a 12-week Simulation internship to bridge real-world robot deployments with autonomy development. You will join a dedicated simulation team to build and improve tools, validate sensor fidelity, and contribute to real-to-sim workflows.

You will work with mentors to define a focused project, develop in Python and/or C++, and document results with a final demo and handoff.

Qualifications

• Pursuing BS/MS/PhD in CS, Robotics, EE, ME or related field.
• Proficient in Python and/or C++.
• Foundational knowledge in robotics, simulation, graphics, physics, or software engineering.
• Experience with Git and Linux.
• Interest in sensing, timing, physics and robot behavior.
• Collaborative mindset and willingness to learn.
• Available for a 12-week internship.

Responsibilities

• Define and deliver a focused simulation project over 12 weeks.
• Develop or improve robotics simulation tools using Python and/or C++.
• Evaluate and improve simulation fidelity in 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 compare simulated vs real robot behavior.
• Document approach and share results through final demo and handoff.

Skills

Python

C++

Git

Linux

Collaboration

Curiosity

Willingness to learn

Education

BS/MS/PhD in CS/Robotics/EE/ME or related

Tools

ROS2

Gazebo

MuJoCo

Unity

Unreal

URDF

USD

Meshes

Point clouds

Job description

FieldAI in Irvine, California is seeking a 12-week Simulation internship to bridge real-world robot deployments with autonomy development. You will join a dedicated simulation team to build and improve tools, validate sensor fidelity, and contribute to real-to-sim workflows.

You will work with mentors to define a focused project, develop in Python and/or C++, and document results with a final demo and handoff.