We are looking for an Embedded Software Engineer to join a defense tech project on a full-time contract basis. The project involves building low-level software for embedded platforms with on-device AI acceleration.
This is a hands-on engineering role — you will be working close to the hardware, where correctness and reliability are non-negotiable.
Location: Europe (remote). Start: September 2026. Format: Contract, full-time. English: B2 or higher. Your responsibilities will include: * Design, develop, and maintain embedded software across the complete development lifecycle — from requirements to bring-up, integration, and field support. * Work with Embedded Linux at a low level: kernel configuration, device drivers, device tree, and BSP work on custom hardware. * Integrate and optimize AI inference workloads on edge accelerators and DSPs. * Bring up and debug new hardware platforms and System-on-Module boards. * Debug at the hardware/software boundary using GDB, JTAG, logic analyzers, and oscilloscopes. * Implement and troubleshoot networking and IP-based communication on embedded targets. * Optimize software for real-time constraints, memory footprint, and power efficiency. * Collaborate directly with hardware and systems engineers during integration and validation. * Document architecture decisions, interfaces, and debugging findings clearly.
What we expect from you: * Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. * 5+ years of hands-on experience across the complete embedded software development lifecycle. * Strong proficiency in C/C++ — modern C++ preferred — for embedded development. * Solid Embedded Linux experience: kernel, device drivers, device tree configuration; Yocto or Buildroot a plus. * Deep understanding of operating systems (Linux and RTOS), networking/IP protocols, and hardware interfaces (I2C, SPI, UART, PCIe, Ethernet). * Solid experience with low-level debugging tools — GDB, JTAG, logic analyzers. * Experience with Git and standard software configuration management practices. * Strong analytical, troubleshooting, and problem-solving skills.
Nice to have: * Texas Instruments processor families — CPU and DSP (TMS320, C66x, Sitara). * Hailo AI accelerators, including the Hailo SDK and toolchain. * Other edge AI acceleration experience — NVIDIA Jetson/TensorRT, OpenVINO, NPUs. * DSPs, FPGAs, or other hardware acceleration technologies. * RK3588 System-on-Module platforms, or comparable ARM SoCs (i.MX, Qualcomm, Zynq). * Background in defense, UAV, avionics, robotics, or industrial vision systems.
