We are a dynamic, international team developing a UWB-based Real-Time Locating System (RTLS) that powers solutions for industrial applications. To achieve the precision and scalability required for modern IoT solutions, we build full stack of software components, including firmware, backend, and frontend applications.
Join our full-stack team to scale existing solutions and create innovative KINEXON products in close collaboration with colleagues from our software and hardware departments.
As a Frontend Software Engineer in our agile RTLS team, you will:
- Develop and maintain modern, scalable frontend applications for our RTLS platform.
- Build intuitive user interfaces for real-time data visualization and interaction.
- Collaborate closely with backend teams to integrate APIs into frontend applications.
- Continuously improve UI performance, responsiveness, and user experience.
- Contribute to frontend architecture, component libraries, and best practices.
- Enhance frontend testing and quality in our CI/CD pipelines.
- Stay up to date with modern frontend technologies and bring new ideas into the team.
For this opportunity, we are looking for someone with:
- A university degree in computer science or comparable qualification.
- At least 2–3 years of experience in frontend development (preferably Typescript and Vue.js).
Experience in building responsive, high-performance web applications.
Familiarity with API integration (REST or similar).
Experience with build tools and CI/CD pipelines (e.g., GitLab).
Passion for modern web technologies and clean, maintainable UI code.
- Enthusiasm for modern software solutions, such as containerization with Docker.
- Very good English skills.
Nice to have:
Experience with real-time data visualization or interactive dashboards.
Familiarity with WebAssembly (e.g., Rust-based components).
Experience in backend coding (preferably C++ or Golang).
Exposure to containerized environments (e.g., Docker).
Knowledge of UX/UI principles and usability best practices.
- Experience with DevOps tools (Kubernetes, AWS, Flux).
- A history of developing Linux services and working with related infrastructure and tooling.
Our diverse tech stack allows us to develop robust and efficient services. Here is a breakdown of the technologies we use:
Frontend: Vue.js 3 (and 2.7). For performance-critical components, we leverage WebAssembly written in Rust.
Backend: C++, Golang, Rust, Python, JavaScript, TypeScript.
Testing: For backend services, we use a Python BDD testing framework, complemented by additional Python tooling.
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:
- #Freetime 30 days (DE) / 20 days (US) paid vacation to refuel your energy (for full-time employees)
- #WeCare – take your time off for the family (parental leave etc.)
- #WorkingHours – Early bird or night owl - you can choose your flexible work hours.
- #FlexibleLocation – we work with a hybrid and remote model.
- #OneTeam - We enjoy spending time together at regular team and company events.
- #OnTop - further benefits selected by you annually out of a range of benefits that we offer (mobility, sports, vacation budget, training budget and more)
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.
