Skip to main content
Back to jobs

Working Student - Fleet Observability & Data Visualization

External
gravisrobotics logoGravisrobotics · Zurich, Switzerland
Full-timeOn-site1w ago
Robotics
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role


Requirements

  • EU/EFTA students
  • Currently enrolled at a Swiss university (Bachelor's or Master's level), ideally in computer science, data science, electrical engineering, robotics, or a related field
  • Proficiency in Linux systems and comfort working from the command line
  • Experience with observability and visualization tools such as Grafana, Prometheus, Foxglove, Kibana, Datadog, or comparable stacks
  • Working knowledge of modern web technologies (HTML/CSS, JavaScript/TypeScript, and a frontend framework such as React, Vue, or Svelte)
  • Working knowledge of git
  • Reliable, detail-oriented, and comfortable owning a project end-to-end
  • Good communication skills in English

Additional Information

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 own the pipeline that turns raw telemetry from our deployed machines into actionable insight - building dashboards that the whole company can read at a glance, and automating the analysis that catches problems before they reach the field engineers. This is a great opportunity to shape how a fast-growing robotics company sees its own fleet.


Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at gravisrobotics? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect