Simulation Internship – AI/ML Model Growth

To help facilitate governance of relocation benefits if you are selected, please apply using the permanent address you would move from.

Work Arrangement:

Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team.

sunnyvale, California
Mountain View, California

The Simulation group builds artificial intelligence (AI) and machine learning (ML) models that power realistic environments for testing and training advanced systems. These simulations generate diverse scenarios that help validate and improve decision-making policies across robotics, autonomous systems, and other AI-driven applications.

Think of Simulation as a virtual training ground where complex systems learn to operate safely and effectively. The team develops AI/ML models that control simulated entities-whether vehicles, robots, or other agents-so they interact in realistic and dynamic ways.

Our technology stack includes generative models, reinforcement learning (RL), and other ML approaches. The Simulation group collaborates closely with teams in behaviors, perception, safety engineering, and infrastructure to deliver scalable, high-fidelity environments.

As an intern, you’ll gain hands-on experience in AI/ML model development, training loop optimization, and simulation infrastructure design, while learning from experienced engineers in the robotics and AI space.

* Apply software engineering skills to accelerate project timelines in areas such as robotics, autonomous systems, and simulation frameworks.
* Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration

Required Qualifications:

We’re looking for students who are eager to learn and contribute. What you need is curiosity, strong fundamentals, and a passion.