Team Lead Software Development / Intelligence Logic

Description

The company builds endovascular robotic systems for minimally invasive procedures, and this role leads the Intelligence Logic team behind them.

The team covers real-time image analytics for device navigation and computer vision, plus workflow orchestration that models, predicts and automates (neuro)endovascular procedures.

The company is a medical technology group with more than 72,000 employees in over 70 countries.

The team works in an international setting, with a culture that values diverse backgrounds and personal growth.

Responsibilities

• Lead and mentor software developers working on computer vision and AI imaging as well as on workflow orchestration, and set the technical direction for both.
• Shape the technical roadmap for AI-driven image analytics, sensor fusion and localization, and the workflow engines that coordinate imaging and robotics in the interventional suite.
• Work closely with development teams in Germany.
• Oversee deep learning work for real-time image analysis, including segmentation, registration, and object detection and tracking, along with state machines and digital models of (neurovascular) procedures.
• Work with computer vision, robotics, clinical and hardware experts to orchestrate clinical workflows safely, including failure detection and uncertainty estimation.
• Manage team priorities, sprint planning and delivery milestones, remove blockers, and make sure the team applies DevOps and MLOps practices across the full lifecycle of software and machine learning models.
• Work with multi-modal data from minimally invasive therapies, including x-ray fluoroscopy, digital subtraction angiography, (cone-beam) computed tomography, robotic data and endovascular device shape sensing.
• Work within an interdisciplinary regulated medical device environment.

Requirements

• Hold a Master's degree and have 6+ years of experience in biomedical engineering, computer science, artificial intelligence, robotics or a related field. A PhD is strongly preferred.
• Have led or mentored engineers or software developers, such as in a technical lead, team lead or similar people-management role within a software or R&D organization.
• Have a strong background in computer vision and medical image analysis, including segmentation, registration, and object detection and tracking.
• Have an in-depth understanding of state-of-the-art deep learning methods.
• Have a strong grasp of robotics concepts such as state estimation and sensor fusion, and working knowledge of control theory, including model predictive control.
• Have experience building machine learning models in modern frameworks such as PyTorch, and with MLOps across the whole model lifecycle.
• Have experience programming in Python and C++/CUDA, and software engineering under DevOps best practices.
• Publications in top-tier venues such as IEEE TMI, CVPR, ICCV/ECCV, MICCAI or comparable are a plus.
• Have a very good command of written and spoken English for working in an international environment.
• Lead, coach and communicate strongly, motivating a technically diverse team around shared goals.
• Bring creative ideas to develop the solutions further in image-guided automation.
• Show strong organization, communication, initiative and curiosity to learn.

Conditions

The base pay range is $154,450 to $212,366.

Starting pay within this range may depend on geography or market, skills, education, experience and other qualifications.

Commission eligibility, if applicable, follows the terms of the company's plan and is based on individual and/or company performance.

Equal employment opportunity applies, and reasonable accommodations are provided for persons with disabilities.

The role requires the ability to work with controlled technology under US export control law, covering the EAR, ITAR and OFAC sanctions regulations.

Applicants should not email CVs. Create a profile in the company's talent community to upload a CV instead.

Be wary of fraudulent recruiters posing as the company. Verify any posting on the company's career site.

Benefits

• Medical, dental and vision insurance.
• 401(k) retirement plan.
• Life insurance, and long-term and short-term disability insurance.
• Paid parking or public transportation.
• Paid time off and paid sick and safe time.