Team Lead Software Development / Intelligence Logic

Siemens Healthineers

5d•$154,450 - $212,366

About The Position

Lead the Intelligence Logic team responsible for the next-generation of endovascular robotic interventions, spanning real-time image analytics for device navigation and computer vision, and procedural workflow orchestration that models, predicts, and automates (neuro)endovascular procedures.

Requirements

Master’s degree with 6+ years of experience in Biomedical Engineering, Computer Science, Artificial Intelligence, Robotics, or a related field.
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.

Nice To Haves

A PhD is highly preferred.
Scientific publications in relevant top-tier journals or venues such as IEEE TMI, CVPR, ICCV/ECCV, MICCAI, or comparable are a plus.

Responsibilities

Lead and mentor a team of software developers spanning computer vision/AI imaging (Software Developer CV) and workflow orchestration (Software Developer WfO), 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.