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KINEXON is building the OS for industrial visibility, enabling real-time location data and dynamic workflows across manufacturing and logistics. Join us to design backend services in C++, Go, and Python, and to shape scalable architectures for a global platform.
You will work on APIs, data processing workers, and CI/CD automation, integrating with Kafka, PostgreSQL, and cloud-native tooling. Strong English communication is essential, with German optional.
We are an international team building KINEXON OS, the operating system that optimizes visibility and transparency of industrial moving assets. Our platform captures real‑time location data and provides dynamic workflows, delivering actionable insights for production and logistics. KINEXON OS is open, flexible, and scalable, enabling full visibility into supply chains and dynamic tracking of assets for swift operational decision‑making. It aggregates position and identification data from various sources and enriches it with contextual information from third‑party IT/OT systems such as ERP, MES, and WMS.
Join us to shape the backbone of a platform that powers digital transformation in manufacturing and logistics worldwide.
With a hybrid and remote model, flexible working hours, and a supportive team culture, you will have the opportunity to grow professionally and enjoy:
KINEXON is a leader in Physical AI for Manufacturing & Sports, turning real‑time location and motion data into actionable intelligence and automation. Our AI and IoT‑driven platform supports a wide range of applications, from automated logistics and safety solutions in factories to live player tracking and performance analytics in sports. In sports, 80% of NBA teams rely on KINEXON technology, alongside FIFA and top European football teams and leagues. In manufacturing and logistics, we partner with blue‑chip companies including BMW, Siemens, Airbus, Continental, and MTU to drive measurable efficiency gains. Founded as a TU Munich spin‑off, we are a team of ~250 people headquartered in Munich with a US office in Chicago – and we’re hiring ambitious talent ready to shape the future of physical AI.