Robotics Software Engineer Internship - Autonomy

Gravis Robotics; Zürich; Vor Ort; CHF 17.000 - 23.000; Teilzeit

Zusammenfassung

Gravis Robotics invites passionate interns to join our Zurich team and contribute to the development of autonomous construction robots. You will explore AI-based control, perception, and machine control areas while working autonomously and in small teams on real-world robotics challenges.

Ideal candidates are Swiss university students with hands-on experience in C++, Python, Linux, and Git; ROS is a plus. This internship offers hands-on learning, a dynamic startup culture, and the chance to

Qualifikationen

• Currently pursuing a degree at a Swiss university.
• Interest in robotics and heavy construction.
• Ability to work autonomously and in small teams.
• Experience with C++ and Python.
• Familiarity with Linux and Git.
• ROS experience is a plus.

Aufgaben

• Contribute to development and deployment of autonomous construction robots.
• Explore AI-based control, perception, and machine control areas based on interest.
• Collaborate with a small team to implement software on autonomous systems.

Kenntnisse

C++

Python

Linux

Git

ROS

Autonomous systems

Ausbildung

Swiss university student

Tools

ROS

Jobbeschreibung

Gravis Robotics is a high-growth Series A start-up backed by SoftBank, bringing Physical AI to the construction industry, turning heavy construction machines into autonomous robots.

Gravis began as an ETH Zurich spin-out, and 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.

Backed by deep robotics research and now deployed across multiple countries with leading construction and equipment partners, our team is rapidly growing to bring this technology to a trillion-dollar industry.

The Gravis RACK is a machine-agnostic retrofit kit that adds autonomy to excavators and wheel loaders from 10 to 100+ tonnes: LiDAR and camera sensing, GNSS RTK, networking hardware and rugged edge compute that works offline. Paired with the Slate tablet and our Copilot software, it lets an operator run a machine manually, with AI assistance, or fully autonomously. Increasingly, we also build custom hardware to adapt our machines for highly specialized, robust applications beyond traditional excavation.

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).

Focus Areas

• AI-based control systems for heavy machinery
• Environment perception and navigation planning
• Machine controller
• Behavior development

Requirements

• Currently pursuing a degree at a Swiss university

Beneficial Experience (Role Based)

• 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 is will revolutionizing 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.