Intern Physical AI, Robotics & AI Coding - Published: Software Development Mountain View

Software Development Mountain View, CA 02.09.2026

SPREAD ENTHUSIASM. SHAPE THE FUTURE.

SHARE YOUR PASSION.

Knowing the destination isn't enough: you need to know how to get there. Build up your own networks, exploit new ideas, consistently take the initiative. Inspire other people with your enthusiasm. That's the only way to give ideas the power that allows them to become true innovations.

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 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…