Robotics Simulation Intern

Bright Machines • San Francisco, CA

8d

About The Position

As a Robotics Simulation Intern at Bright Machines, you will help develop simulated robotic manipulation tasks in Isaac Lab and evaluate learning-based and classical control policies for industrial automation applications. You will create simulation scenes for robot arms in a manufacturing line performing tasks such as cable routing, cable insertion, and pick-and-place, and support training and hyperparameter tuning to improve policy performance. This internship is ideal for someone interested in robot learning, simulation, and experimental evaluation in real-world robotics.

Requirements

• Pursuing a BS/MS in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, Computer Science, Aerospace Engineering, or a related field.
• Experience with Isaac Lab, Isaac Sim, Omniverse, or similar robotic simulation tools.
• Experience with robotics, reinforcement learning, imitation learning, or control systems through coursework, research, or personal projects.
• Ability to interpret experimental data, analyze results, and communicate insights clearly.
• Strong problem-solving skills and attention to detail in experimental setup and evaluation.
• Examples of personal, academic, or professional projects that demonstrate hands-on robotics, simulation, or machine learning experience.

Nice To Haves

• Familiarity with robot manipulation, motion planning, or robot learning for contact-rich tasks.
• Experience training policies and tuning hyperparameters for reinforcement learning or other learning-based methods.
• Knowledge of robot kinematics, dynamics, control, and perception.
• Strong programming skills in Python`
• Experience working with robotic arms and manipulation tasks in either simulation or real hardware.
• Experience with experiment automation, logging, and visualization tools for ML or robotics workflows.

Responsibilities

• Build and maintain simulation scenes in Isaac Lab for robot manipulation tasks, including cable routing, cable insertion, and pick-and-place.
• Implement, run, and analyze experiments to evaluate the effectiveness of different robotic policies in simulation.
• Support training workflows for robotic learning approaches, including hyperparameter tuning, fine-tuning, and performance benchmarking.
• Work closely with robotics and research engineers to investigate new task setups, validate approaches, and improve simulation fidelity and task success.
• Design, execute, and document experiments to measure performance, robustness, and failure modes.
• Analyze results and communicate findings through clear visualizations, summaries, and technical discussions.

What This Job Offers

• Career Level: Intern
• Number of Employees: 101-250 employees