Team Lead Software Development / Intelligence Logic

Your tasks and responsibilities

• Lead and mentor a team of software developers spanning computer vision/AI imaging and workflow orchestration, setting technical direction and ensuring alignment across both disciplines.
• Coordinate and shape the technical roadmap for the integration of AI-driven image analytics, sensor fusion/localization, and workflow engines that coordinate imaging and robotics in the interventional suite, working in close alignment with and support development teams in Germany.
• Oversee the development and evaluation of deep learning approaches for real-time image analysis (segmentation, registration, object detection/tracking) as well as state machines and digital representations of (neurovascular) procedures.
• Partner closely with cross-functional experts, including computer vision, robotics, clinical, and hardware teams, to ensure safe orchestration of clinical workflows, including failure detection and uncertainty estimation.
• Manage team priorities, sprint planning, and delivery milestones, removing blockers and ensuring the team follows DevOps and MLOps best practices spanning the full lifecycle of software and machine learning models.
• Work with multi-modal data relevant to minimally invasive therapies such as x-ray fluoroscopy, digital subtraction angiography, (cone-beam) computed tomography, robotic data and endovascular device shape sensing.
• Work in an interdisciplinary regulated medical device environment and collaborate closely with cross-functional experts.

Your qualifications and experience

• Master’s degree with 6+ years of experience in Biomedical Engineering, Computer Science, Artificial Intelligence, Robotics, or a related field. A PhD is highly preferred.
• Prior experience leading or mentoring engineers and/or software developers, e.g., as a technical lead, team lead, or in a similar people-management capacity within a software or R&D organization.
• Strong background in computer vision and medical image analysis including common tasks such as segmentation, registration, and object detection and tracking.
• In-depth understanding of state-of-the-art deep learning methods.
• Strong background of robotics concepts including state estimation, sensor fusion and working knowledge of control theory concepts like model predictive control.
• Experience in development of machine learning models using modern frameworks such as PyTorch and MLOps approaches spanning the whole lifecycle of machine learning models.
• Experience in programming with Python and C++/Cuda, and software engineering following DevOps best practices.
• Scientific publications in relevant top-tier journals or venues such as IEEE TMI, CVPR, ICCV/ECCV, MICCAI, or comparable are a plus.

Your attributes and skills

• Very good command of English, both written and spoken, enabling effective communication in an international environment.
• Strong leadership, coaching, and communication skills, with the ability to motivate a technically diverse team and align it around shared goals.
• Creative and continuously develops innovative ideas to further develop solutions in the field of image-guided automation.
• Strong organizational skills and communication abilities, initiative, and curiosity to learn.