Senior/Lead Computer Vision Engineer

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Description

Join us to build the connected vision intelligence layer that unifies surgical imaging, robotics, and data services across the operating room portfolio spanning endoluminal, orthopedics, and the next‑gen general‑surgery platform, while powering the digital ecosystem in hospitals. You’ll help transform raw surgical video and device signals into real‑time insights, collaborative telepresence, and longitudinal case intelligence used before, during, and after procedures. First product releases include surgical video editing/publishing and telepresence, rolling out to select sites in the near future. Your work will directly accelerate that journey and connect robotic vision to the OR and hospital digital platform.

Job Responsibilities

• Designing and implementing deep learning models for real‑time video analysis.
• Creating automated annotation systems that label procedures, instruments, and anatomical structures.
• Developing algorithms to extract quantifiable metrics from surgical performances.
• Working on related tasks such as measurement of dimensions in images.

Requirements

• Bachelor’s in software engineering, electrical/electronics engineering, or related field.
• At least 6-8 years of progressive experience in software development with a focus on AI/ML techniques.
• Strong experience in developing and fine‑tuning ML models.
• Hands‑on experience with Open3D, MeshLab, Blender, or Ansys.
• Knowledge and experience with U‑Net or CNN for image analysis and segmentation.
• Experience with data cataloguing, data set‑up in S3 – EDA on data and pipelining for SageMaker.
• Strong programming skills in Python and C++.
• Experience with scripting languages such as Shell, Batch, Bash and Linux commands.
• Strong analytical skills, capable of uncovering anomalies in robust software.
• Experience with Windows and Linux operating systems.
• Experience with JIRA or similar bug‑tracking tools.

What We Offer

• Culture of caring with an inclusive, supportive environment.
• Learning and development opportunities and career navigator tools.
• Meaningful work on cutting‑edge surgical AI solutions.
• Balance and flexibility with various work arrangements.
• High‑trust organization with integrity and trust.