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Artisense (Kudan Germany GmbH)

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About

Artisense (now Kudan Germany GmbH) develops computer vision and sensor fusion software for highly accurate, robust, and safe navigation using low-cost hardware. Their core technology, ArtiSLAM, integrates visual inertial sensors with optional GNSS and other sensor modalities for centimeter-level positioning. Applications include robotics, autonomous vehicles (valet parking, AR navigation, HD map localization), and fleet tracking (e-scooters, vehicles). The company boasts a strong background in research from the Technical University of Munich and is now a subsidiary of Kudan Inc. They offer modular hardware and software solutions customizable to client requirements.

Platform
Web
Keywords
computer visionnavigationlocalizationsensor fusionvisual slam
Task
visual positioning

Features

modular hardware and software design

centimeter accurate positioning

works with realsense d455

sensor fusion (vision + imu + gnss)

visual slam algorithm

Job Opportunities

Artisense (Kudan Germany GmbH) favicon
Artisense (Kudan Germany GmbH)

C++ Software Engineer

Artisense provides precise visual positioning solutions for robots and autonomous vehicles using a proprietary Visual SLAM algorithm and sensor fusion.

engineeringonsiteBristol, GBfull-time

Benefits:

  • Competitive compensation package with 28 days holiday plus UK bank holidays

  • Internal mentoring and training initiatives

  • Flexible working hours

  • Private medical insurance

  • Health cash plan

Education Requirements:

  • Bachelor’s or Master’s degree in Computer Science or “STEM” (Science, Technology, Engineering and Math) or related working experience

Experience Requirements:

  • Minimum 5 years of industrial experience in software development, with a strong proficiency in modern C++ programming language

Responsibilities:

  • Proactively participate in design and architecture discussions and suggest potential improvements to the existing and future products as well as internal tools

  • Collaborate with product managers, team leaders, and other stakeholders to understand product requirements and generate innovative proposals and ideas

  • Lead on a full cycle of design and development from the initial proof of concept prototype to the final fully tested and evaluated product

  • Be autonomous, driven and proactive and be able to work independently with minimum supervision and ability to mentor and manage more junior members of the team

  • Propose new ideas and share them within the team and also be able to represent their work to the technical and non-technical staff

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Computer Vision Engineer

Artisense provides precise visual positioning solutions for robots and autonomous vehicles using a proprietary Visual SLAM algorithm and sensor fusion.

Benefits:

  • A fun, supportive and engaging environment

  • Opportunity to work on cutting edge technologies with the top talent in the field

  • Competitive compensation package with 28 days holiday plus UK bank holidays

  • Internal mentoring and training initiatives

  • Flexible working hours

Education Requirements:

  • Bachelor’s or Master’s degree in Computer Science or “STEM” (Science, Technology, Engineering and Math) or related working experience

Responsibilities:

  • Develop a thorough understanding of our SLAM stack and develop ideas for its improvement across all aspects of the algorithms involved

  • Implement state-of-the-art computer vision algorithms for SLAM

  • Develop understandable, clean and documented code which is well-tested by creating appropriate unit tests

  • Implement new features for our product

  • Be able to work independently

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Robotics Engineer

Artisense provides precise visual positioning solutions for robots and autonomous vehicles using a proprietary Visual SLAM algorithm and sensor fusion.

Benefits:

  • A fun, supportive and engaging environment

  • Opportunity to work on cutting edge technologies with the top talent in the field

  • Competitive compensation package with 28 days holiday plus UK bank holidays

  • Internal mentoring and training initiatives

  • Flexible working hours

Education Requirements:

  • Bachelor’s or Master’s degree in Electrical Engineering, Robotics or Computer Science or a related field or significant personal software development experience

Responsibilities:

  • Develop a thorough understanding of our SLAM stack and develop ideas for its improvement across all aspects of the algorithms involved

  • Implement state-of-the-art computer vision algorithms for slam

  • Ensure code is well tested by creating appropriate unit tests

  • Share ideas within the team and provide an explanation of new algorithms

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