We are looking for a Working Student (f/m/d) - Computer Vision & Data Pipeline in our Machine Vision team at B. Braun New Ventures in Freiburg for at least 5 months. Join us in building real-world computer vision systems for surgical applications, from data creation to automated validation pipelines.

Duties and responsibilities:

• You will create and curate a dataset for surgical instrument tracking using computer vision, based on recordings from real-world operating rooms (OR)

• You will develop a simulated dataset in a controlled environment covering a range of zoom and focus settings

• You will set up and maintain a dedicated compute node in the rack to run automated, nightly validation pipelines

• You will design and implement scheduling and automation workflows (e.g., cron jobs, services, Docker-based execution)

• You will evaluate and benchmark computer vision pipelines (e.g., object detection, keypoint tracking) using defined performance metrics

• You will analyse validation results and improve the robustness and reproducibility of the pipeline

• You will document datasets, experiments, and findings in a structured way

• You will collaborate with software, hardware, and clinical stakeholders in an interdisciplinary environment

Professional competencies:

• Enrolled in a Master’s program in Computer Science, Software Engineering, Robotics, or a related field

• Solid programming skills in Python (data processing, scripting, automation)

• Experience with Linux systems (Ubuntu) and basic system administration

• Familiarity with Docker and containerized workflows

• Basic understanding of computer vision and machine learning pipelines (e.g., detection, tracking)

• Experience handling datasets (synthetic, simulated, and/or real-world data)

• Understanding of model evaluation metrics (e.g., accuracy, detection rate, stability/jitter)

• Basic knowledge of GPU vs CPU inference workflows

Personal competencies:

• Strong analytical and problem-solving mindset

• Ability to work independently on loosely defined problems

• Clear documentation and reporting of results

• Interest in medical technology, test automation, and system accuracy

• Good communication skills in English; German is a plus

• Motivated, curious, and eager to learn in a high-tech, interdisciplinary environment

Benefits:

• Hands-on experience in a fast-growing MedTech start-up

• Opportunity to work on real-world testing challenges in surgical navigation

• A brand-new modern office optimized for concentration and collaboration with an integrated high-tech simulation operating room, generous social areas and creativity zones

• High quality of life in one of Germany’s most attractive cities

B. Braun New Ventures GmbH | Haakon Schröder | +49 160 95704687