KINEXON Sports stands as a global pioneer in delivering cutting-edge tracking and analysis technology tailored for professional sports.
We track movement and position data of players and official match balls, transform it into valuable analyses and insights, and assists professional teams and leagues in using data for pioneering innovative strategies.
We are a cross-functional team developing a Local Positioning System (LPS) based on Ultra-Wideband (UWB) technology to enable our player and ball tracking solution. To capture and provide precise position and motion data in the sports environment, we are developing a full stack of software components, including firmware, backend, and frontend applications.
Join our dynamic team to scale existing solutions for our low latency sensor network architecture and create innovative KINEXON products in collaboration with your colleagues from our software and hardware departments!
Our diverse tech stack allows us to develop robust and efficient services. Here is a breakdown of the technologies we use:
As Senior C++ Engineer in our agile LPS team you will
Additional Nice-to-haves:
At KINEXON, you will meet people with a similar mindset who are passionate about innovative technologies and love to master new challenges in a team, as well as create great products.
Become part of our team and enjoy the following benefits:
If you want to find out more about our benefits, you can look here and with a visit to Instagram wearekinexon you can get a look behind the scenes.
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.