Internship - Perception Engineer

About Gravis
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 Market & Technology
Construction represents 13% of the global GDP, but is stagnating in labor productivity. Unprepared to meet global housing shortages, and to construct the required renewable infrastructure to slow the advance of climate change, the industry is in need of substantial innovation. Gravis Robotics is on a mission to provide such innovation through the automation of heavy construction equipment. Our solution allows a single equipment operator to orchestrate multiple machines at a safe distance. To do so, we developed a specialized heavy-machinery retrofitting kit featuring a number of different sensors, communication and networking devices and compute modules, that runs our learning-based automation software and that enables autonomous operations of heavy construction machines. Gravis’ autonomy kit can be retrofitted on any existing heavy machinery, despite the machine’s manufacturer, type and age, unlocking the opportunity of deploying our solution anywhere in the world. 
About the Position
We are looking for a passionate, skilled intern 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. Your role would likely explore one or more of the following areas (based on experience and interest) in heavy machine scene understanding:

Focus Areas

• 3d object detection
• Development of testing environment in IsaacSim/Nvidia Cosmos

Required Qualifications

• Master’s level study (i.e. in robotics, computer science, mechanical or electrical engineering)
• Experience with programming language Python
• Experience with ML pipelines 

Beneficial Skills

• Experience with ROS (Robot Operating System) and other robotics frameworks.
• Proficiency in Linux and GIT
• Experience conducting research (e.g., through experience in an academic lab, or through previous internships and employment)
• Interest and/or experience in heavy construction

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.