Inactive
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Robust.ai

AI-powered robots for manufacturing and logistics

Data Nerd Intern

Data AnalysisPosted on Apr 29
Internship · Summer 2026San Carlos, CA, USANo salary listedIn-person

About the Job

Requirements

  • Currently pursuing a degree in Data Science, Computer Science, Robotics, Systems Engineering, or a related field.
  • Proficient in Python (Pandas, NumPy), or R, or another data-analysis framework.
  • Experience with data visualization tools is a must.
  • Excellent communication skills to explain complex technical failures and their impact to non-technical audiences.

Responsibilities

  • Visualize the Fleet by designing and building automated reports and dashboards to track Key Performance Indicators and issues.
  • Mine robot logs to identify recurring edge cases and understand why robots in one site perform differently from another.
  • Analyze how customers use features to inform future product roadmaps.
  • Work with the Validation team to categorize and visualize safety-related events and hardware failures to improve fleet reliability.
  • Assist in refining the data ingestion process to ensure critical robot truths are captured and reported accurately.
  • Design and generate visualizations that translate robot telemetry into business-critical insights to help customers make data-driven decisions on facility staffing and operational scaling.

Desired Qualifications

  • Experience with Robot Operating System (Robot Operating System) and rosbag analysis.

About the Company

Robust.ai

AI-powered robots for manufacturing and logistics

Robust.AI creates AI-powered robotic systems for manufacturing and warehouse logistics. The core products are collaborative robots that work alongside humans to handle dynamic, changing workflows in facilities like warehouses and factories. These systems typically include autonomous robotic fleets, sensors, and software that coordinates tasks, ensuring safe interaction with people and adapting to different tasks in real time. The company earns revenue by selling robotic hardware and by offering ongoing service and maintenance contracts. Its approach centers on integrating intelligent automation with existing operations to improve productivity, safety, and efficiency, with notable clients such as DHL Supply Chain. The goal is to help businesses reduce operating costs and increase throughput by deploying adaptable, scalable robotic solutions that fit varied industrial environments.

Company size
51-200
Company stage
Series A
Total funding
$42.5M
Headquarters
San Carlos, CA
Founded
2019

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