Embedded Developer

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).
• 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.