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

Quantum-Systems GmbH·Gilching, Bayern, Germanysenior

En corto

→Desarrollas software embebido para gimbales EO/IR de defensa con enfoque en procesamiento de video en tiempo real.
→Trabajas con Linux embebido, GStreamer, FFmpeg, CUDA, OpenCV y múltiples interfaces de hardware (SPI, I2C, CAN, etc.).
→Destaca el uso de aceleración GPU y latencia mínima en sistemas críticos para aplicaciones militares.

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¿Qué piden?

✓5+ años en desarrollo de software embebido para Linux.
✓Experiencia comprobada con GStreamer y/o FFmpeg en entornos de tiempo real.
✓Dominio de C/C++ y/o Rust en entornos embebidos.
✓Conocimiento avanzado de integración de sensores (IMU, cámaras EO/IR, GPS, etc.).
✓Habilidad en desarrollo de drivers de dispositivo y trabajo a nivel de kernel.
✓Experiencia con aceleración GPU (CUDA, OpenCV) y codecs H.264/H.265.

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Embedded LinuxGStreamerFFmpegCUDAOpenCVSPII²CUARTCANGPIO

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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. 265. 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 processors, payload controllers, flight controllers, and external systems. Support hardware bring-up, integration, debugging, verification, and field testing. Implement logging features and analyze issues reported by testing and customers Produce software architecture documentation, interface specifications, and technical documentation. Participate in system architecture, design reviews, and technology roadmap planning. What you bring to the team: Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, Embedded Systems, Robotics, or a related discipline. 5+ years of professional experience developing embedded software for Linux-based systems. Strong expertise in Embedded Linux application development. Experience with Linux kernel development, device drivers, and hardware abstraction layers. Strong C/C++ and/or Rust programming skills. Experience with GStreamer and/or FFmpeg multimedia frameworks for low-latency, high-performance multimedia and video streaming applications. 265 video codecs and streaming technologies including RTSP, RTP, UDP, and TCP. Experience integrating embedded peripherals using SPI, UART, I²C, CAN, GPIO, USB, Ethernet, and similar interfaces. Experience integrating imaging sensors and peripherals such as IMUs, GPS, encoders, or similar devices. Strong understanding of networking fundamentals and troubleshooting in embedded or distributed systems. Experience with hardware/software integration and embedded system debugging. Familiarity with GPU computing, OpenCV, CUDA, or equivalent hardware acceleration technologies. Experience with Git, CMake, cross-compilation, and embedded Linux development workflows. Strong systems thinking with an understanding of software architecture and hardware/software interface design. Why Quantum-Systems: We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.

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