Intern Physical AI, Robotics & AI Coding - Spring 2027

Intern Physical AI, Robotics & AI Coding - Spring 2027

9/3/26

Mountain View, California United States

Spring 2027 Full-Time Internship – Mountain View, CA January 11, 2027 – May 14, 2027   WHAT AWAITS YOU.

Scout emerging U.S.-based technologies, startups, research institutions, and industry players in the fields of Physical AI, Robotics, Vision-Language-Action (VLA) models, Robotic Foundation Models, and selected AI-enabled software development approaches and tools. Evaluate technology trends, business models, and market developments to identify opportunities relevant for future BMW production systems and manufacturing processes. Support benchmarking activities of humanoid robots, mobile manipulators, foundation models, and AI-enabled automation solutions. Analyze data strategies for large-scale robotics deployment, including data acquisition, labeling, synthetic data generation, and scalable training approaches. Support the planning, execution, and evaluation of Proof of Concepts (PoCs) with technology partners, startups, universities, and industrial suppliers. Develop technology assessments and recommendations considering scalability, maturity, business impact, implementation effort, and strategic relevance for BMW. Create management-ready reports, presentations, and technology overviews to communicate scouting results and project findings. Collaborate with internal BMW stakeholders across production, technology development, innovation management, and digitalization functions. Investigate how Physical AI and Robotics technologies can improve cost, quality, flexibility, and productivity in future manufacturing environments.

Currently enrolled in a master’s degree program at an accredited college or university. US Work Authorization required. Minimum cumulative GPA of 3.0 (overall, not just major). Completed at least 60 college credit hours at the time of application. Ability to work full-time (36.25 hours/week). Must submit an unofficial college transcript with your application.

WHAT YOU SHOULD BRING.

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