Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control lets one operator safely conduct a fleet of earthmoving machines in a gamified environment. Our team has over a decade of academic experience honing the cutting edge of large-scale robotics, and is rapidly growing to bring that expertise into a trillion dollar industry through active deployments with market leaders.
About the Job We are looking for passionate, skilled interns to join our team—and to actively contribute to the development and deployment of extraordinary construction robots. The ideal candidate should be self-motivated, capable of working autonomously and in small teams, and should have a strong desire to solve exciting, challenging, and applied problems. At Gravis, we engineer solutions at the nexus of hardware and software every day.

List of possible opportunities

• Contribute to ongoing customer projects
• Implement advanced map representations that include 3D objects like obstacles, moving objects, and newly formed holes.
• Utilize semantic data from images and point clouds to create more accurate obstacle representations.
• Develop sophisticated techniques to evaluate terrain traversability, taking into account dynamic obstacles, different terrain types, and restricted zones.
• Conceive, develop and evaluate different radar-based perception algorithms for mapping and obstacle detection
• Develop and assess synchronization algorithms from various sensors such as lidars, cameras and radars for real time applications
• Optimize and develop object detection algorithms
• Develop novel approaches to evaluate volumes of dirt dug out and moved

Requirements

• Currently pursuing a degree at a Swiss university
• Experience with C++, Linux, GIT, and ROS/ROS2

Beneficial

• Enrolled in Master’s level study (i.e. in robotics, computer science, aerospace, mechanical or electrical engineering, design)
• Hands-on experience with point cloud-based SLAM algorithms
• Knowledge of mapping frameworks (2D/3D) such as grid_map, octomap, etc.
• Familiarity with point cloud processing and relevant frameworks such as: Open3D, PCL, etc.
• Familiarity with deep learning frameworks (pytorch, tensorflow, etc.)
• Familiarity with ML concepts in computer vision
• Experience working with sensors and sensory data (LiDAR, cameras, Radars, IMUs)
• Experience with GPU programming (CUDA)

This is an opportunity to join a dynamic and versatile team, and to be part of a young startup that will revolutionize heavy construction. You will get the chance to apply your skills to critical tasks, while learning from a team of world-class robotic engineers. Gravis Robotics offers a fair market salary and an excellent working location in the city of Zurich.
Gravis is an equal opportunity employer. We are committed to inclusion and diversity, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics. All qualified people are highly encouraged to apply.