20 beste Stellen als machine learning student in zürich, zh – aktuell auf Personalsuche

Gravis Robotics is a startup turning heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control enables a single operator to safely manage a fleet of earthmoving machines in a gamified environment. With over a decade of academic experience at the cutting edge of large-scale robotics, our team is rapidly translating this expertise into real-world deployments with industry leaders in a trillion-dollar market.

At Gravis, we operate at the intersection of hardware, software, and real-world deployment. Our Rooftop Autonomous Control Kit (RACK) integrates sensing, compute, communication, and networking into a manufacturer-agnostic solution deployable across a wide range of construction machines.

We are looking for a motivated working student to join our team for an extended engagement (several months or longer), contributing 1 to 2 days per week. Our office is located in Zurich city, close to Bahnhof Oerlikon, and is easily reachable by public transport. You will play a hands-on role in preparing and commissioning our autonomy kits, working closely with our engineering and operations teams. This is a great opportunity to get real-world exposure to a production robotics stack and to contribute meaningfully from day one.

Your Responsibilities

Perform software configuration of our autonomy kits as part of the commissioning pipeline
Carry out sensor calibration procedures (IMUs, LiDARs, cameras, and others) during in-office commissioning
Help maintain a well-organized and fully stocked inventory of electronics components
Work across teams to identify recurring issues in the configuration pipeline and support debugging efforts
Propose and drive improvements to make our configuration processes faster and more reliable

What You Will Gain

Hands-on experience configuring a real-world autonomy kit being actively deployed all over the world
Exposure to the full configuration lifecycle of a robotics kit, from software automation to multi-sensor calibration
Collaboration with an international team that has spent over a decade pushing the frontier of large-scale robotics
The opportunity to take ownership of improvements and see their direct impact on the scale-up of our kits deployed around the world
A look inside a fast-growing deep-tech startup at an exciting stage of its journey

Required Qualifications

EU/EFTA students
Currently enrolled at a Swiss university (Bachelor's or Master's level)
Working knowledge of Linux/Ubuntu and the command line
Working knowledge of git
Reliable, detail-oriented, and comfortable with hands-on technical tasks
Good communication skills in English

Nice to Have

Experience with bash scripting or other automation scripting
Familiarity with robotics concepts (sensors, coordinate frames, calibration, etc.)
Experience with web-based user interfaces
Any prior tinkering with electronics, hobby robotics, or embedded systems

Benefits

Flexible scheduling around your university commitments (1 to 2 days per week)
Long-term engagement preferred, with the possibility to grow your responsibilities over time

Don't meet every requirement? If you're enthusiastic about this role but your experience doesn't match every qualification, we still encourage you to apply. You might be the perfect candidate for this or other positions.

This is an opportunity to join a dynamic and versatile team, and to be part of a young startup that will revolutionize heavy construction. Gravis Robotics offers a fair market salary and a working location in the vibrant city of Zurich. As a forward-facing startup, we understand that work-life balance and flexibility are important considerations for many professionals: If you are a highly qualified candidate with the requisite skills and experience, we encourage you to apply and discuss your preferred working arrangement during the interview process.

Gravis is an equal opportunity employer. We are committed to building an inclusive and diverse team, 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.

We are an international team that is working to solve problems with a global impact: to facilitate efficient communication and collaboration, proficiency in English is a requirement for all roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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