Intern Computer Vision and Sensor Fusion (f/m/x)

Our team at the BMW Group explores the intersection of computer vision, sensor fusion, and generative simulation. We focus on multi-modal 3D scene reconstruction and novel view synthesis to build high-fidelity digital twins of real-world driving environments for state-of-the-art simulation platforms.

What awaits you?

• You support multi-modal 3D scene reconstruction and novel view synthesis by leveraging multi-sensor setups in modern vehicles (e.g., surround cameras, LiDAR, radar, and ultrasonic sensors).
• Furthermore, you help fuse these complementary modalities to build metric-accurate, high-fidelity digital twins of complex real-world driving environments.
• In addition, you support experienced scientists and engineers in tackling real-world autonomous driving data challenges and integrating reconstructed assets into simulation platforms.
• Moreover, you help develop and validate a reconstruction and synthesis pipeline bridging sparse and dense range measurements with photometric data for digital twins.
• Furthermore, you may contribute to a top-tier computer vision or robotics conference publication (e.g., CVPR, ICCV, ECCV, NeurIPS, or CoRL).

What should you bring along?

• Studies in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related quantitative field, pursuing a Master's or Ph.D. degree.
• Solid theoretical and practical experience with classical and neural 3D reconstruction, novel view synthesis, and representations like Gaussian Splatting, NeRFs, point clouds, and meshes.
• Strong proficiency in Python and PyTorch, including experience with 3D deep learning libraries (e.g., PyTorch3D, Kaolin, Open3D) and GPU-accelerated computing.
• Familiarity with modern agentic development toolchains and orchestration workflows, such as automated experimentation pipelines and LLM-assisted code and research agents.
• Prior experience with multi-modal sensor fusion, such as camera-LiDAR calibration, radar or ultrasonic point-cloud processing, or sensor dropout robustness is a plus.
• Broad overview of automotive simulation, synthetic data generation, and generative world models, plus a track record of open-source contributions to 3D vision projects.
• Good English skills; German language skills are a plus.

Are you passionate about pushing the boundaries of 3D computer vision and sensor fusion for automotive digital twins? Then Apply now!

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Mobile work.
• Attractive & fair compensation.
• Apartments for students (subject to availability & only at the Munich location).
• And much more, see bmw.jobs/waswirbieten

Start date: Earliest start date 02.11.2026

Duration: 6 months

Working hours: Full-time

You can find helpful tips on your application and the application process here .

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here .