Computer Vision Algorithms Developer

RealSense delivers industry-leading depth cameras and vision technology used in autonomous mobile robots, humanoids, access control, industrial automation, healthcare and more. With a mission to deliver world class perception systems for Physical AI and safely integrate robotics and AI into everyday life, RealSense provides

intelligent, secure and reliable vision systems that help machines navigate and interact with the human world.

Join the RealSense Biometrics & Access Control R&D team as an experienced Computer Vision Algorithms Developer, and be at the forefront of developing next-generation biometric technologies for edge devices and cloud services.

About the role

We are seeking a motivated and experienced Computer Vision Engineer with a proven background in facial recognition R&D. In this role, you will take ownership of algorithmic projects from research and development to deployment on real-world systems, contributing to the continuous improvement of our industry-leading facial authentication solutions. We are looking for a highly independent individual who excels at delivering end-to-end solutions and thrives in a fast-paced, results-oriented environment. The position offers the opportunity to work on challenging problems in a collaborative setting, applying advanced computer vision techniques to create practical and impactful technologies.

Qualifications:

• At least 3 years of experience in computer vision, machine learning, or related fields.
• Experience with real-world face authentication R&D.
• Experience with deep learning frameworks such as TensorFlow and PyTorch.
• Strong programming skills in Python and C++.
• Ability to work independently and manage multiple projects simultaneously.
• Excellent problem-solving skills and attention to detail.
• Good team player, with strong collaborative and interpersonal skills.

Preferred Qualifications:

• M.Sc. / Ph.D. in Computer Vision or Machine Learning.
• Strong Mathematical background.
• Good knowledge of OOP and modern development paradigms.