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Robotics Software Engineer Internship - Autonomy

Gravis Robotics
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

Stage

Avantages

Appareils mobiles de fonction

Qualifications

Expérience en laboratoire
Git
Recherche
Ingénierie électrique
Niveau Master
C++
GitHub
Construction et rénovation
Linux
Connaissances en mécanique
Python

Description complète du poste

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 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.

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lab development engineer emplois

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Talent Lead

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Messaging and Directory System Engineer (all genders)

Forward Deployed Engineer

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Senior Mechanical Engineer – Quadcopter Systems

Senior Mechanical Engineer- Quadcopter Systems

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