Robotics Navigation Engineer at Kabam Robotics - Kabam Robotics｜Meet.jobs

Be a part of the robotics revolution! We are seeking an engineer with a background and a passion for robotics who will lead the development of mobile-robot navigation algorithms. You will be instrumental in the development of Smart+, our solution for smart robots with humans in the loop. You will also pioneer our long-term strategy of assisting robotics companies with open-source modules, developed in conjunction with major ROS partners.

Responsibilities:

• Lead development, testing, integration, and deployment of modular navigation systems for indoor, near-door, and outdoor mobile robots

• Develop navigation and computer vision algorithms for mobile robots

• Participate in robot system design to optimize navigation performance

• Design robot APIs. Work with the front-end team to integrate your solutions into the Smart+ platform and back-end team to deploy your solutions in the cloud

• Conduct field tests and testing of the navigation systems and other modules of the Smart+ platform

• Support remote team in testing Smart+

• Contribute to overall architecture design and documentation

Technical qualifications:

• Masters (with experience) or PhD in Computer Science/Electrical Engineering/Mechanical Engineering with a focus in robotics, mechatronics, or related fields

• Proficient in ROS and C++ or Python: track record of building ROS software on real robots

• Experience building nav systems for real robots based on visual or LIDAR SLAM, experience working with open-source SLAM algorithms (e.g. ROS Navigation stack, Cartographer, or ORB SLAM)

• Experience with data fusion algorithms for localization (Kalman Filter)

• Good knowledge of robotic platforms and robot sensors (IMU, GPS, lidar, cameras, depth sensors, etc)

• Good knowledge of Linux platform, its configuration, and command line operations

• Track record collaborating on software projects (git)

• Knowledge of machine learning techniques

Helpful Additional Skills:

• Exposure to Docker, Jenkins, and other tools for deployment

• Experience with application of machine learning in robotics, exposure to machine learning frameworks (Caffe2)

• Experience collecting robot data for training deep neural networks

• Track record of open source contributions and/or personal software/hw projects

• Experience with ROS2

About Kabam:

Headquartered in Singapore, KABAM Robotics leverages robotics and connectivity technologies to design and build service robots for the security, delivery and hospitality sectors. Our modular architecture allows us to configure our systems to match the needs of our customers.

KABAM’s world-leading deployment approach employs cutting edge hybrid artificial intelligence to overcome the most challenging of applications, at a price tag that delivers fast return on investment.