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Описание: |
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.
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