196070 Intern Computer Vision and Sensor Fusion (f/m/x) Published: 05.10.2026 Advanced Driver Assistance Systems Munich New Advanced Driver Assistance Systems Munich Munich

BMW Group; München; Hybrid; EUR 12,000 - 17,000; Full time

Benefits offered by this job

Apartments for students (Munich)

Job summary

BMW Group invites motivated students for a 6-month full-time internship in Munich, focusing on computer vision and sensor fusion for Advanced Driver Assistance Systems. You’ll work on multi-modal 3D reconstruction, digital twins, and integration into simulation platforms with guidance from senior researchers.

We seek candidates pursuing a Master’s or PhD in a quantitative field, with strong Python/PyTorch skills and experience in 3D libraries.

Qualifications

• Pursuing a Master’s or PhD in CS, robotics, EE or math.
• Strong theory and practical experience with 3D reconstruction and view synthesis.
• Proficiency in Python and PyTorch, plus 3D libraries (PyTorch3D, Kaolin, Open3D).
• Experience with sensor fusion and automotive data is a plus.

Responsibilities

• Support multi-modal 3D scene reconstruction using multi-sensor setups in modern vehicles.
• Help fuse modalities to build metric-accurate digital twins of driving environments.
• Assist scientists and engineers with real-world autonomous driving data challenges and integration into simulation platforms.
• Contribute to reconstruction and synthesis pipelines bridging sparse and dense measurements with photometric data.

Skills

Python

PyTorch

3D deep learning

GPU computing

Education

Master or PhD in Computer Science, Robotics, Electrical Engineering, or Applied Mathematics

Tools

Kaolin

PyTorch3D

Open3D

Job description

Advanced Driver Assistance Systems Munich 05.10.2026

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

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

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.

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

What do we offer?

• Mobile work.
• Apartments for students (subject to availability & only at the Munich location).

Duration: 6 months

Working hours: Full-time

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 .

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

Legal Entity:

BMW AG

Location:

Job Field:

Advanced Driver Assistance Systems

Job ID:

196070

Publication Date:

05.10.2026

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