Algorithm Engineer

Who we are

We are here to improve lives by restoring sight worldwide by a robotic platform for vision saving surgery. Our company will improve the way ophthalmic surgery is delivered to vision impaired individuals now and for decades to come.

We are rapidly growing, funded by leading international VCs, and are looking to expand our small, motivated, multi-disciplinary and phenomenal team. Joining us is an opportunity to work towards saving vision across the globe, collaborating with others to realize a dream, and tackle an enormous challenge that will help drive your career forward.

Who we are looking for

We are seeking a highly skilled Algorithm Engineer with a strong focus on deep learning and problem-solving. The ideal candidate will have proven experience in end-to-end development — from research and prototyping to production deployment — and a passion for applying advanced algorithms to transform the field of medical robotics.

Responsibilities

• Design, develop, and deploy cutting-edge algorithms to enhance the accuracy, robustness, and efficiency of robotic surgical systems.
• Apply deep learning, computer vision, and advanced data analysis techniques to solve challenging perception and decision-making problems.
• Lead end-to-end development cycles: problem definition, algorithm design, implementation, optimization, and integration into real-time systems.
• Collaborate with multidisciplinary teams, including software, hardware, and clinical experts, to ensure algorithms meet system and clinical requirements.
• Validate and refine algorithms through simulation, lab testing, and clinical feedback.

Requirements

• Advanced degree (Master’s or PhD) in Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, or a related field.
• 5+ years of experience in algorithm development, with a strong track record in classical computer vision, image processing, and 3D/geometric computer vision.
• Hands-on experience developing camera-based computer vision algorithms, including areas such as camera calibration, SLAM, visual odometry, 3D vision, pose estimation, or related geometric vision techniques.
• Hands-on experience in the full development lifecycle — from concept and algorithm design through implementation, testing, optimization, integration, and deployment.
• Solid mathematical foundation, with a strong understanding of geometry and its application to computer vision problems.
• Proficiency in Python and/or C++.
• Experience in robotics, control systems, autonomous navigation, sensor fusion, or medical devices – an advantage.
• Experience with Deep Learning and modern learning-based computer vision methods – an advantage.
• Experience with validation of algorithm solutions for medical devices – an advantage.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.