Robotics Simulation Intern

RETHINK MANUFACTURING

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.

Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you.

ABOUT THE ROLE

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.

WHAT YOU WILL BE DOING:
•
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 WE WANT TO SEE:
•
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.

IT WOULD BE GREAT IF YOU HAD:
•
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.

WHO YOU ARE:
•
You are customer obsessed

•
You believe in the power of a team, diversity of thought, and unity of action

•
You always act with integrity, keep your commitments, and practice transparency

•
You think boldly, lead with courage, and demand the highest standards

•
You drive for results, and act like an owner

BE EMPOWERED TO CHANGE AN INDUSTRY

Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.

Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.