
"NexDash is building Europe's first Neo-Carrier: electrified, AI-orchestrated, and soon autonomous. 🚛⚡ At the heart of our vision is NexOS - a next-gen orchestration platform that powers fleet electrification, route optimization, charging, and eventually autonomous logistics. We're looking for a Lead Engineer to build NexOS from scratch. You'll be the first dedicated engineer, working directly with the founder to integrate third-party tools initially (PTV Logistics, telematics APIs, fintech systems) and then rebuild everything into NexDash's proprietary platform."
"Architect and build NexOS: fleet management, AI-driven routing, charging orchestration, and data integration Rapidly prototype by combining third-party tools + custom code before transitioning to full in-house build Leverage AI and automation to solve complex logistics problems (predictive routing, fleet optimization, digital twins) Build clean, scalable code that can evolve into a full tech stack as the company grows Work closely with the founder and commercial team to ship features fast, with impact"
"Strong full-stack engineering skills (Python, Node.js, cloud infra, APIs, data pipelines) Experience with AI/ML frameworks (e.g. PyTorch, TensorFlow, LangChain, LLMs) and deploying them in production Background in logistics, mobility, or complex B2B systems is a plus, but not required Entrepreneurial builder: you ship fast, break down problems, and can own a system end-to-end Collaborative, pragmatic, and easy to work with - but ambitious to build something huge Fluent in English (German is a plus, not required)"
NexDash is building a Neo-Carrier that combines electrification, AI orchestration, and future autonomy. NexOS is a next-generation orchestration platform powering fleet electrification, route optimization, charging, and autonomous logistics. The Lead Engineer will design and build NexOS from scratch, initially integrating third-party tools (PTV Logistics, telematics APIs, fintech systems) and later replacing them with a proprietary platform. Responsibilities include fleet management, AI-driven routing, charging orchestration, data integration, rapid prototyping, and applying AI for predictive routing, fleet optimization, and digital twins. Required skills include full-stack engineering, cloud and API experience, and production AI/ML deployment. Early equity and a Berlin office are offered.
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