Our client is a startup company, specializing in cutting-edge solutions for spatial data analysis and 3D modeling. They are developing 3D modeling solutions with mobile RGBD sensors. This is realized by first developing a true mobile LiDAR that is power efficient, lightweight, and outdoor long range, and then integrating with mobile devices (Apple or Android) cameras and IMUs. The solution can be used for civil engineering applications, hence the exploration with Canvas, and many other applications in industrial, automation, and robotics.

They are seeking a highly skilled and experienced specialist for the Computer Vision department to join the team. If you're passionate about pushing the boundaries of technology and driving innovation in computer vision and sensor integration, we want to hear from you.

Responsibilities

Manage the integration of RGBD sensors, high-resolution cameras, and LiDARs into comprehensive systems for spatial data capture and analysis;
Develop 3D applications for iOS and Android platforms, leveraging LiDAR and vision technologies;
Design and implement advanced reconstruction techniques, including Radiance Fields (NeRF, 3D Gaussian Splatting, and close variations), as well as LiDAR/Vision SLAM algorithms tailored for resource-constrained mobile environments (iOS/Android);
Balance between algorithm R&D and programming implementation – contribute not only to algorithm design but also to end-to-end implementation in mobile applications;
Utilize AI-enabled automation techniques to manipulate spatial data for feature extraction, inspection, and data analysis;
Stay abreast of the latest advancements in technology, including AI tools and Nvidia Omniverse platforms, and integrate them into our solutions;
Collaborate closely with team members as a hands-on technical expert, demonstrating strong listening and teamwork skills (team management experience is optional but not required);
Communicate effectively with team members to articulate technical concepts and project requirements.

Requirements

6+ years of hands-on experience in RGBD sensor integration, LiDAR technology, and computer vision;
Proven track record of developing 3D applications for iOS and Android platforms;
Strong proficiency in developing and optimizing LiDAR/Vision SLAM algorithms, as well as experience with 3D vision methods (SLAM, RGB-D sensor fusion, calibration, timing synchronization);
Experience with advanced reconstruction techniques such as NeRF, 3D Gaussian Splatting, or willingness and ability to adapt quickly to these emerging methods;
Experience with AI-enabled automation techniques for spatial data analysis;
Familiarity with SceneScript and other relevant scripting languages;
Strong math fundamentals and algorithm background, combined with solid programming skills (not purely academic, but hands-on experience in building systems);
Ability to thrive in a fast-paced, collaborative environment and adapt to evolving priorities;
Upper-Intermediate English level, both verbal and written.

Bonus points for

We offer excellent benefits, including but not limited to

People-oriented management without bureaucracy;
Flexible schedule;
15 working days of annual paid vacation;
Paid sick-leaves;
Friendly and engaging professional team;
Opportunities for self-realization, career, and professional growth;
Accounting and legal support.

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Computer Vision Engineer

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