EFA GROUP

Senior Computer Vision / Augmented Reality Software Engineer (Embedded Systems)

EFA GROUP Koropi, Attica, Greece

Defense and Space Manufacturing · 201-500 employees

5 h ago
embedded Senior (5-10 yrs) Full-time Greece
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About the role

Design and develop augmented reality applications for embedded defense electro-optical systems. Implement real-time AR overlays, sensor fusion, and computer vision algorithms on embedded Linux and Android platforms.

What they look for

C++ Embedded Linux Computer Vision Augmented Reality OpenCV OpenGL ES Vulkan Sensor Fusion 3D Math Realtime Graphics Android Git Image Processing Embedded Systems Software Architecture

Requirements

Requires a university degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Candidates must have strong experience in C++ and embedded software development for real-time applications.

Full description

ΤHEON GROUP of companies develops and manufactures cutting-edge night vision and thermal Imaging systems for Military and Security applications with a global footprint. THEON GROUP started its operations in 1997 from Greece and today occupies a leading role in the sector thanks to its international presence through subsidiaries and production facilities in Greece, Cyprus, Germany, the Baltics, the United States, the Gulf States, Switzerland, Denmark, Belgium, Singapore and South Korea. THEON GROUP has more than 260,000 systems in service with Armed and Special Forces in 73 countries around the world, 26 of which are NATO countries. THEON INTERNATIONAL PLC, the group's parent company, has been listed in the EURONEXT stock market, allowing THEON GROUP to accelerate its growth and further future business development. www.theon.com

Role Summary

As part of our continued investment in augmented reality (AR) technologies, we are expanding our Computer Vision capabilities with an Augmented Reality Software Engineer to develop nextgeneration AR capabilities on embedded application processors integrated into our electrooptical products.

The successful candidate will design and implement computer vision and realtime AR applications running on embedded Linux and Android–based application processors, tightly integrated with sensors such as night vision cameras, thermal imagers, IMUs, and external data sources.

You will work in a multidisciplinary R&D environment, collaborating closely with hardware, FPGA, optics, computer vision, and system engineers to deliver robust, lowlatency AR solutions for operational use.

Key Responsibilities

  • Design, develop, and maintain augmented reality applications for embedded platforms used in defense electrooptical systems
  • Implement realtime AR overlays (symbology, navigation cues, object annotations, sensor fusion outputs) on live video streams
  • Optimize graphics rendering and application performance for resourceconstrained embedded SoCs
  • Interface with camera pipelines, IMUs, GPS, and other sensors to support accurate registration and alignment
  • Implement computer vision algorithms for perception and tracking algorithms into AR pipelines
  • Support system integration, testing, debugging, and performance tuning on target hardware
  • Contribute to technical documentation, software architecture, and coding standards

Qualifications

  • University degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
  • Strong experience in C++ and/or modern C for embedded or performancecritical applications
  • Handson experience developing realtime graphics or AR/VR applications
  • Experience with Embedded Linux application development
  • Experience with computer vision frameworks (e.g. OpenCV)
  • Solid understanding of 3D math, coordinate systems, transformations, and sensor fusion concepts
  • Experience with GPUaccelerated rendering (e.g. OpenGL ES, Vulkan, or similar)
  • Familiarity with version control systems (e.g. Git) and collaborative software development
  • Experience with AR frameworks or engines (e.g. Unity, Unreal, custom engines) adapted for embedded targets
  • Background in computer vision, image processing, or realtime video pipelines
  • Experience interfacing with IMUs, cameras, GPS, or similar sensors

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