Verdigris

Details

Positions: Logistics Integration Engineer Intern
Locations: Taipei, Taiwan
Innovation Area: Energy Efficiency
Position Type: Industry-supported
Compensation: $8,500
Internship Term: 8 weeks

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Verdigris Technologies, founded in 2011 by Mark Chung, Thomas Chung, and Jonathan Chu, is an AI-powered IoT energy data platform. Verdigris is an AI-powered IoT energy platform that transforms buildings into smart, self-optimizing environments to combat global climate change. Our proprietary hardware sensors capture high-frequency energy data, which our AI models use to eliminate energy waste in critical facilities worldwide.

Responsibilities

  • Workflow Automation: Analyze and streamline inspection and logistics workflows to improve operational efficiency and reduce manual overhead.
  • Intelligent Inventory Systems: Design and implement automated notification systems that trigger alerts during inventory changes, ensuring real-time data accuracy.
  • Stakeholder Integration: Support the development of automated systems that notify key stakeholders upon completion of fulfillment processes, enhancing supply chain transparency.
  • Process Optimization: Identify bottlenecks in the current logistics pipeline and propose data-driven solutions for process automation

Who Should Apply

Students majoring in Industrial Engineering, Systems Engineering, or Operations Research who are eager to bridge the gap between theoretical optimization and real-world technology operations. This role is ideal for those interested in systems integration and process automation within a mission-driven, AIoT environment. We are looking for candidates who enjoy building efficient systems and want to see their work optimize global technology deployments.

Required Expertise

  • Basic understanding of logistics, operations, or systems workflows.
  • Ability to analyze complex processes and identify opportunities for efficiency improvements.
  • Strong organizational and communication skills to coordinate across technical and operational teams.

Preferred Skills/Majors

Industrial Engineering, Systems Engineering, Operations Research, Computer Science, or related fields