The Future of Surgery Is Waiting. Will You Answer the Call?

At Asensus Surgical and KARL STORZ, we’re charting new worlds in digital surgery - where AI, real-time intelligence, and human mastery converge.

We don’t just innovate - we revolutionize.

Sr. Computer Vision & Deep Learning Engineers: Craft real-time Augmented Intelligence that empowers surgical teams with immediate, actionable insights - https://tinyurl.com/asx-cveng

Responsibilities

• Work with a multi-disciplinary team of experts and engineers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment
• Research, design, develop and implement Computer Vision, Machine Learning and Deep Learning based vision algorithms.
• Utilize existing research, literature and study of existing state of the art tools to develop best in class solutions
• Develop mathematical and numerical tools to support development
• All other duties as directed.

Qualifications

• MSc in Computer Science or related fields (EE, Math, Physics, etc.); Ph.D - Advantage.
• 5+ years of hands-on experience with Computer Vision algorithms.
• Strong background in machine learning and deep learning.
• Proficiency in C++ and Python.
• Ability to initiate and lead machine learning projects end to end.
• Experience with TensorFlow or PyTorch
• Familiarity with IPP, OpenCV and similar libraries
• Deep domain experience and hands-on knowledge or academic research background in at least one of the following is an advantage:
• Motion estimation (i.e Optical flow, Tracking)
• Segmentation
• GNN
• 3D reconstruction
• VAN/SLAM
• Experience with Linux.