Embedded Software Engineer – Electro-Optical Systems

Asio Technologies 

📍 Kfar Saba, Israel 🇮🇱

full-time
senior
Posted —

Key Skills

C++LinuxImagingLIDARVision

Industry

AerospaceRobotics

Job Description

We are looking for an experienced Embedded Software Engineer to join our team and develop advanced software for complex airborne and ground-based electro-optical systems.

In this role, you will work on real-time embedded software, image and video processing, sensor integration, and system-level capabilities. You will collaborate closely with software, algorithms, hardware, validation, and system engineering teams throughout the development lifecycle, from concept and implementation to integration and field testing.

Responsibilities

  • Develop and optimize software for real-time embedded systems.
  • Design, develop, and debug software using C++ and Java.
  • Work in Linux/UNIX embedded environments.
  • Integrate cameras, IMU sensors, LIDAR, and additional peripherals.
  • Contribute to image processing, video analysis, and computer vision capabilities.
  • Investigate system issues, perform debugging, and optimize performance.
  • Participate in system integration, validation activities, and field testing.
  • Collaborate with multidisciplinary development teams.

Requirements

  • 5+ years of hands-on software development experience in embedded real-time systems.
  • Strong experience with modern C++ development.
  • Experience working in Linux/UNIX environments.
  • Experience integrating software with hardware and sensors.
  • Background in image processing, computer vision, or video analysis.
  • Strong problem-solving and debugging skills.
  • Ability to work effectively in multidisciplinary teams.
  • B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or a related field.
  • Experience working with AI-assisted development tools such as Cursor, Claude, or similar.

Advantages

  • Experience developing software for electro-optical, airborne, robotics, or autonomous systems.
  • Knowledge of mapping, orthophoto processing, or geospatial technologies.
  • Familiarity with machine learning, deep learning, or Edge AI.
  • Experience integrating cameras, IMUs, LIDARs, and other mission-critical sensors.
  • Willingness to travel abroad as part of the role