Company
Autonomy
WorkingStudent—FleetObservability&DataVisualization
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Working Student — Fleet Observability & Data Visualization. Skills: Data visualization, Observability, Anomaly detection, Data pipelines. Build pipelines to fetch metrics. Maintain pipelines to fetch metrics”
Industry & Context.
Anomaly detection; Troubleshooting
What They're Looking For.
Must Have
EU/EFTA students, Currently enrolled at a Swiss university, Proficiency in Linux systems, Comfort working from the command line, Experience with observability and visualization tools, Working knowledge of modern web technologies, Working knowledge of git
Nice to Have
Experience with time-series databases, Familiarity with statistical methods, Experience with data pipelines, Familiarity with robotics concepts, Practical experience using AI agents, Prior experience building dashboards, Long-term engagement preferred
What You'll Do.
Build pipelines to fetch metrics
Maintain pipelines to fetch metrics
Organize operational data
Structure operational data
Design live dashboards
Implement live dashboards
Set up automated analysis
Develop anomaly-detection workflows
How You'll Work.
Communication Scope
English
Process & Methodology
Owning a project end-to-end
Full Job Description
## Your Responsibilities Build and maintain pipelines to fetch metrics from machines deployed in the field Organize and structure operational data so it can be visualized Design and implement live dashboards on our office display to distribute the information company wide Set up automated analysis of trends and long-term averages across different metrics Develop anomaly-detection workflows to flag decalibration, sensor drift, or unexpected behavior before it becomes an incident Leverage AI agents to accelerate data exploration, summarization, and routine analysis tasks ## What You Will Gain Hands-on experience with the full data lifecycle of a production robotics fleet — from raw telemetry to actionable insight Direct visibility into how a deep-tech startup uses data to scale up its operations The opportunity to take ownership of a system that the whole company relies on every day ## Required Qualifications 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 ## Nice to Have Experience with time-series databases (Prometheus, InfluxDB, TimescaleDB, VictoriaMetrics, or similar) Familiarity with statistical methods for anomaly detection or trend analysis Experience with data pipelines, message brokers, or stream processing (MQTT, Kafka, Zenoh, ROS bags, or similar) Familiarity with robotics concepts (sensors, coordinate frames, calibration, etc.) Practical experience using AI a
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