Computer Vision Team Lead

Research & Development

Remote

April 12, 2024

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 Team Lead 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

  • Lead 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 LiDAR/Vision SLAM algorithms tailored for resource-constrained mobile phone environments (iOS/Android);
  • 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;
  • Provide leadership and guidance to a team;
  • 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 in resource-constrained mobile phone environments (iOS/Android);
  • Experience with AI-enabled automation techniques for spatial data analysis;
  • Familiarity with SceneScript and other relevant scripting languages;
  • Upper-Intermediate English level, both verbal and written;
  • Ability to thrive in a fast-paced, collaborative environment and adapt to evolving priorities.

Bonus points for

We offer excellent benefits, including but not limited to

  • People-oriented management without bureaucracy;
  • Competitive compensation; 
  • 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.

Application form

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