(Senior) Embedded Software Engineer (m/f/d) (Linux & RTOS)

ABOUT THE TEAM 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 a full stack of software components, including firmware, backend, and frontend applications. Join our team to scale existing solutions and create innovative KINEXON products in close collaboration with colleagues from our software and hardware departments. YOUR QUALIFICATIONS We are looking for a mid-level or senior embedded software engineer with experience developing Linux and RTOS-based systems: Linux development & system programming, u-boot, device tree & drivers, or kernel modules Embedded Linux build environment: Poky (Yocto Project, OpenEmbedded, BitBake) is a plus Hardware interfaces such as GPIO, I2C, SPI, UART, USB, Ethernet Embedded security concepts (image signing, encryption, secure updates) Experience with automated firmware, hardware-in-the-loop and integration testing Very good English skills and the ability to collaborate in an international engineering environment Additional experience that would be an advantage: Variscite or similar ARM platforms Bitbake as build automation tool Lowlevel MCU programming FreeRTOS/Zephyr or comparable RTOS environments Radio protocols YOUR TASKS As an Embedded Software Engineer in our RTLS team, you will: Develop and maintain software for our RTLS anchors and sensors Design and implement embedded Linux and FreeRTOS applications Integrate hardware components and communication interfaces Develop and maintain device drivers and Linux kernel modules where required Implement secure software deployment and update mechanisms Improve system reliability, performance, and maintainability Contribute to CI/CD pipelines and automated testing Collaborate closely with firmware, hardware, backend, and product teams OUR TECH STACK We develop software across the entire embedded stack, from firmware to Linux-based edge devices. You should be comfortable working with technologies and concepts such as: C, and modern C++(17 or newer) Yocto Linux FreeRTOS/Zephyr/Wirepas Linux Kernel Modules I2C, SPI, UART Secure Updates, Encryption, Image Signing ARM-based platforms Variscite YOU CAN LOOK FORWARD TO THIS WITH US 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. ABOUT US 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.