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 machines—from anywhere in the world. 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 multi-billion dollar industry.
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. Your role would likely explore one or more of the following areas (based on experience and interest):
- AI-based control systems for heavy machinery
- Environment perception and navigation planning
- Machine controller
- Behavior development
- Currently pursuing a degree at a Swiss university
- Master’s level study (i.e. in robotics, computer science, mechanical or electrical engineering, design)
- Experience conducting research (e.g., through experience in an academic lab, or through previous internships and employment)
- Track record of setting up and deploying software on autonomous systems
- Experience with C++ and Python
- Proficiency with Linux and GIT
- Interest and/or experience in heavy construction
- Experience with Robot Operating System (ROS) is a plus
This is an opportunity to join a dynamic and versatile team, and to be part of a young startup that iswill revolutionizinge 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.
We encourage applicants to include a selection of projects they have worked on, focusing on highlighting the programming languages used and individual contributions. If possible, please provide links to relevant repositories (e.g., GitHub), and any additional supporting material.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
