Project details

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Reach out to us if you are interested in working with us on the project.
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Logistics Automation & Robotics Expert (m/w/d) Tech Due Diligence

Industry
Transportation and Logistics
Areas
Operations
Supply Chain Management

Project info

  • Period
    11.08.2025 - 15.08.2025
  • Capacity
    from 95%
  • Location
    Karlsruhe, Germany
  • Languages
    • German
      (Advanced)
      ,
    • English
      (Advanced)
  • Remote
    from 95%

Description

We are supporting a VC fund in the search for a technical expert in the areas outlined below, who is available to assist 1-2 days with a tech due diligence starting next week (from July 28). The expert will support reference and product calls with the target company’s tech team, focusing on evaluating the core technologies, their maturity, and integration into logistics environments.

Tasks:

  • Participate in technical reference and product calls with the target company's engineering team
  • Prepare relevant technical questions in advance of the discussions
  • Assess the use of automation, robotics, and sensor technologies (e.g., LiDAR, radar, cameras)
  • Evaluate the scalability and efficiency of operational workflows in intralogistics environments
  • Analyze remote operation technologies, including control interfaces and low-latency communication systems
  • Review the integration of automation systems into existing WMS and IoT infrastructures
  • Support post-call analysis and provide a structured evaluation of the technical setup to inform investment decisions

Requirements

Must Have:

Automation & Robotics:

  • Understanding of autonomous vehicle standards, robotics integration, and sensor technologies (LiDAR, radar, cameras)
  • Logistics Operations: Experience evaluating operational workflows, scalability, and efficiency within intralogistics and warehouse environments
  • Remote Operation Technologies: Experience in remote-control interfaces, low-latency communication networks, and real-time remote monitoring
  • Software & Systems Integration: Proficiency in integrating automation technologies into existing Warehouse Management Systems (WMS) and IoT platforms

Nice to Have:

  • Cybersecurity: Knowledge of security standards related to remotely operated heavy machinery to identify vulnerabilities and ensure operational integrity
  • Data Analytics & AI: Ability to assess data-driven process optimization, predictive analytics, and AI-driven safety and efficiency improvements
  • Regulatory Compliance: Familiarity with EU/German regulatory frameworks concerning autonomous and remotely operated industrial vehicle