senior computer vision/augmented reality software engineer (embedded systems)
Aug 13, 2026 · THEON International
What you'll do
- Design, develop, and maintain augmented reality applications for embedded platforms
- Implement real-time AR overlays on live video streams
- Optimize graphics rendering and application performance for embedded SoCs
- Interface with camera pipelines, IMUs, GPS, and other sensors for accurate registration
- Implement computer vision algorithms for perception and tracking in AR pipelines
- Support system integration, testing, debugging, and performance tuning on hardware
- Contribute to technical documentation, software architecture, and coding standards
Key requirements
- C++ and/or modern C for embedded or performance-critical applications
- Real-time graphics or AR/VR application development
- Embedded Linux application development
- Computer vision frameworks such as OpenCV
- 3D math, coordinate systems, transformations, and sensor fusion concepts
- GPU-accelerated rendering including OpenGL ES or Vulkan
- Version control systems like Git
- AR frameworks or engines such as Unity, Unreal, or custom for embedded targets
- Interfacing with sensors including IMUs, cameras, and GPS
- Software architecture, coding standards, debugging, and performance tuning
- Computer Engineering / Electrical Engineering / Computer Science
About the job
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 next‑generation AR capabilities on embedded application processors integrated into our electro‑optical products.
The successful candidate will design and implement computer vision and real‑time 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 multi‑disciplinary R&D environment, collaborating closely with hardware, FPGA, optics, computer vision, and system engineers to deliver robust, low‑latency AR solutions for operational use.
Key Responsibilities
Design, develop, and maintain augmented reality applications for embedded platforms used in defense electro‑optical systems
Implement real‑time AR overlays (symbology, navigation cues, object annotations, sensor fusion outputs) on live video streams
Optimize graphics rendering and application performance for resource‑constrained 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 performance‑critical applications
Hands‑on experience developing real‑time 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 GPU‑accelerated 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 real‑time video pipelines
Experience interfacing with IMUs, cameras, GPS, or similar sensors
