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Mid to Senior SLAM Engineer

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

We seek a candidate with a strong background in robotics, computer vision, or a related field. Proficiency in algorithms for localization and mapping, as well as experience with sensor fusion and SLAM techniques, is essential. Familiarity with software development in C++ or Python and experience working with autonomous systems will be advantageous. A collaborative mindset and the ability to work in a dynamic team environment are crucial for success in this role.

About the job

Join Gravis Robotics, an innovative startup that is transforming heavy construction machinery into intelligent, autonomous robots. By leveraging a unique blend of learning-based automation and augmented remote control, we empower operators to manage fleets of earthmoving machines in an engaging, gamified environment. Our team, boasting over a decade of academic expertise, is positioned at the forefront of large-scale robotics and is rapidly expanding to integrate that knowledge into a trillion-dollar industry through active collaborations with market leaders.

About the Job
As a SLAM Engineer at Gravis, you will be instrumental in engineering solutions at the intersection of hardware and software. You will contribute to the development of cutting-edge perception and control technologies for our remarkable autonomous machines. Our Rooftop Autonomous Control Kit (Rack) integrates sensors, computing power, communication, and networking modules into a manufacturer-agnostic solution applicable across various construction machines, regardless of type or age. We are looking for an adept SLAM Engineer to join our perception team, where you will design, develop, test, and deploy customized state-of-the-art localization and mapping algorithms, along with state estimation and calibration techniques, while ensuring high standards of production-quality implementation and timely delivery.

About Gravis Robotics

Gravis Robotics is pioneering the future of construction technology by transforming traditional heavy machinery into intelligent, autonomous systems. Our commitment to innovation and safety ensures that our solutions enhance productivity while providing a gamified operational experience for users.

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