Intern Physical AI, Robotics & AI Coding

Intern Physical AI, Robotics & AI Coding - Spring 2027

Mountain View, California, United States

Spring 2027 Full-Time Internship – Mountain View, CA

January 11, 2027 – May 14, 2027

• 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.

• 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, Tensor Flow, 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.

• 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…