IoT/Robotics Software Intern — Inventory & AI

NextGenEnergyJobs

Austin (TX)

On-site

USD 20,088 - 35,712

Part time

14 days+

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Job summary

Exowatt in Austin, TX is seeking a Software Engineering Intern for Inventory Automation & IoT/Robotics. You will extend the inventory-management app with automated reorder, price-trend awareness, and AI-driven anomaly detection, and work on the live RFID/MQTT pipeline.

You will gain hands-on hardware exposure, learn to integrate IoT sensors, and contribute to a working demonstrator using robotics/embedded tech.

Qualifications

  • Pursuing a CS / software-engineering / EE / robotics (or closely related) degree.
  • Strong programming fundamentals; comfortable in Python .
  • Genuine interest in hardware / IoT / robotics alongside software.
  • Comfortable with Git and collaborative development.
  • Hands-on IoT / embedded / microcontroller experience.
  • RFID, sensors, or robotics / mechatronics exposure.
  • LLM / AI-API experience.
  • Scrappy hardware-hacker instinct; comfortable building physical demonstrators.

Responsibilities

  • Extend the existing inventory-management app — automated reorder, price-trend awareness, and richer LLM-driven anomaly detection beyond today's rule-based alerts.
  • Build on the live RFID/MQTT + receiving pipeline; add IoT sensing and wire new device data into the platform.
  • Explore a drivable RFID scanner (robotics/IoT) for automated stock-taking — build toward a working demonstrator.
  • During onboarding, read and improve existing internal apps (real platform improvements, not throwaway exercises).

Skills

Python
Git
IoT
RFID
Robotics
LLM/AI-API

Education

Pursuing CS/Software-Engineering/EE/Robotics degree

Tools

Embedded systems
Git

Job description

Exowatt in Austin, TX is seeking a Software Engineering Intern for Inventory Automation & IoT/Robotics. You will extend the inventory-management app with automated reorder, price-trend awareness, and AI-driven anomaly detection, and work on the live RFID/MQTT pipeline.

You will gain hands-on hardware exposure, learn to integrate IoT sensors, and contribute to a working demonstrator using robotics/embedded tech.

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