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Senior Embedded Software Engineer – EO/IR Gimbal Systems (m/f/d)

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EMP:Technology
Gilching, Bayern, Germany
Tiempo Completo
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Descripción

We are seeking a highly skilled Senior Embedded Software Engineer to lead the development of software for next-generation defense-grade Electro-Optical/Infrared (EO/IR) gimbal systems.

The successful candidate will architect and develop high-performance, low-latency video processing and streaming software for embedded computing platforms while integrating cameras, sensors, communication interfaces, and embedded hardware into a mission-critical stabilization and targeting system.

This role requires strong expertise in embedded Linux, multimedia frameworks, GPU-accelerated computing, networking, and hardware/software integration.

You will collaborate closely with systems, electronics, computer vision, mechanical, and control engineers to deliver robust, production-ready solutions for demanding defense applications.

What is your Day to Day Mission:Design, develop, and maintain embedded software for defense-grade EO/IR gimbal systems.

  • Develop real-time video capture, processing, encoding, decoding, recording, and streaming applications on embedded Linux platforms using GStreamer, FFmpeg, and hardware-accelerated multimedia frameworks.
  • Develop reliable networking solutions for real-time video transport using RTP, RTSP, UDP, TCP, H.
  • Develop high-performance image processing and computer vision applications using CUDA, OpenCV, or equivalent GPU-accelerated technologies where applicable.

Integrate visible, infrared, and thermal imaging sensors into embedded systems.

  • Develop software interfaces for IMUs, laser rangefinders, and other mission-critical sensors.
  • Develop Linux device drivers and perform kernel-level integration for custom hardware.

Interface with embedded hardware using SPI, I²C, UART, CAN, GPIO, USB, Ethernet, MIPI CSI, HDMI, and other industry-standard interfaces.

Optimize software for deterministic performance, low latency, and efficient utilization of CPU, GPU, and hardware accelerators.

Design scalable communication architectures between embedded pro.

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