Working Student Project Team AI Digital Twin & AMR (Intralogistics & Production)
Pixel Robotics builds intelligent, perception-driven robots tailored to intralogistics. Our unique AI vision infrastructure creates a digital twin of the operating area.
With the help of this real-time twin, Pixel Robotics robots work together with their human colleagues - autonomously, safely and with unrivaled flexibility
Tasks
- You are part of an interdisciplinary project team and contribute independently to the success of projects
- You use our innovative technologies to solve logistical issues for customers
- You visit our customers and record the conditions and processes on site
- You document your observations and communicate them to the project team
- You analyze your findings and map them in the customer-specific digital twin using our W2MO software
- You independently consult with customers
- You help with the integration of our AI Recognition Units (remote or on site)
- You support the implementation of our AMRs (Autonomous Mobile Robots) on site
Requirements
- You are in the middle of your studies with a technical or business background (focus on logistics is an advantage)
- You enjoy familiarizing yourself with new things, have an analytical mindset, are flexible, committed and work independently
- You impress with your pragmatic approach and hands-on mentality
- You have already gained experience with MS Office
- You are fluent in English and (preferably) as well in German for communicating with customers and colleagues
- You have a class B1 driver's license
- You are willing to travel up to 30% of the time
Benefits
- A varied and exciting job in an internationally active company with well-known clients
- Diverse development opportunities in a prestigious, future-proof and centrally located modern workplace with excellent transport links (subway) near the Olympic Park
- Extras such as free cold drinks, coffee specialties, fruit and employee events
- Friendly, helpful colleagues and flat hierarchies
Wir kombinieren KI, Computer Vision und Robotik, um innerbetriebliche Transporte für alle zu automatisieren. Autonom, sicher und mit unerreichter Flexibilität.
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