Intern Physical AI, Robotics & AI Coding - Spring 2027

Field of Study: Robotics, Mechanical Engineering, Computer Science, Artificial Intelligence, Electrical Engineering, Data Science, or related fields.

Business fluent English.

Strong interest in Physical AI, Robotics, Autonomous Systems, Machine Learning, and emerging technology ecosystems.

Basic understanding of robot learning approaches including Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, Reinforcement Learning, and Foundation Models.

Familiarity with robotics frameworks and AI development tools such as ROS, Python, PyTorch, TensorFlow, Isaac Sim, Mujoco, as well as an interest in AI-assisted software engineering workflows, or similar environments.

Strong analytical skills and ability to evaluate technologies, business models, and market developments.

Experience conducting technical research, benchmarking studies, or data-driven analyses.

Ability to structure complex topics and communicate findings clearly through presentations and written reports.

Self-motivated, curious, and hands-on mindset with strong teamwork and communication skills.

Preferences: Experience with data collection, synthetic data generation, data pipelines, or large-scale AI training workflows or AI-assisted coding, testing, and code review tools. Experience with robot learning, imitation learning, reinforcement learning, or multimodal foundation models. Experience working with robotics hardware platforms, simulation environments, or automation systems. Prior involvement in startup scouting, venture analysis, technology strategy, or innovation projects. Passion for transforming cutting-edge AI and robotics research into scalable industrial applications.

Experience with data collection, synthetic data generation, data pipelines, or large-scale AI training workflows or AI-assisted coding, testing, and code review tools.

Experience with robot learning, imitation learning, reinforcement learning, or multimodal foundation models.

Experience working with robotics hardware platforms, simulation environments, or automation systems.

Prior involvement in startup scouting, venture analysis, technology strategy, or innovation projects.

Passion for transforming cutting-edge AI and robotics research into scalable industrial applications.

WHAT YOU CAN LOOK FORWARD TO.

Medical insurance coverage.

Paid time off in addition to company paid holidays where eligible.

Hybrid work environment.

Access to the Intern Vehicle Lease Program.

Relocation assistance is not available for this position. This is a hybrid role that requires office days at the Mountain View, CA office.

Undergraduate students: Hourly rate is $32.50. Graduate students: Hourly rate is $40.00.

The selected student's current academic level will be used to determine the final pay rate. This statement is in accordance with state and local pay disclosure requirements.

As part of the hiring process, you may be required to successfully pass a background check. A satisfactory completion of a background investigation including verification of education, prior employment, criminal history, credit check history, and pre-employment drug screen to the extent permissible under applicable state law, is a condition of your offer of employment and your continued employment. The results of your background investigation are satisfactory and acceptable in the sole judgement and discretion of BMW Shared Services, LLC.

Even more so than the generous compensation and benefits, the culture and values of BMW of North America makes it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.